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davanstrien
/
pytorchmodelmetadata

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jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-10_nortepeninsular-0_s27
9ddf9c0573baa96d0557080e1a30e28da51a0bc1
2022-07-25T08:00:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-10_nortepeninsular-0_s27
1
null
transformers
33,300
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_accent_surpeninsular-10_nortepeninsular-0_s27 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-10_nortepeninsular-0_s335
6ffa94fbade95b2b917d1a772f96939ab50026e2
2022-07-25T08:05:21.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-10_nortepeninsular-0_s335
1
null
transformers
33,301
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_accent_surpeninsular-10_nortepeninsular-0_s335 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-2_nortepeninsular-8_s317
c8d47120f02380a12a18917c1aad9aa01ab5b80f
2022-07-25T08:09:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-2_nortepeninsular-8_s317
1
null
transformers
33,302
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_accent_surpeninsular-2_nortepeninsular-8_s317 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-2_nortepeninsular-8_s578
92819c8c986408a53031e0f09708d84328816715
2022-07-25T08:14:41.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-2_nortepeninsular-8_s578
1
null
transformers
33,303
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_accent_surpeninsular-2_nortepeninsular-8_s578 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-2_nortepeninsular-8_s646
98fb47790e83c8215460a98d582bd7cbcdf8ae2c
2022-07-25T08:19:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-2_nortepeninsular-8_s646
1
null
transformers
33,304
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_accent_surpeninsular-2_nortepeninsular-8_s646 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-8_nortepeninsular-2_s1
2041b0e9697f3177728bb319c039786485a9c3c5
2022-07-25T08:23:58.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-8_nortepeninsular-2_s1
1
null
transformers
33,305
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_accent_surpeninsular-8_nortepeninsular-2_s1 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-8_nortepeninsular-2_s149
9cb69dd9ac3490bf2ceb6709ef9bcc994abeb2ef
2022-07-25T08:29:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-8_nortepeninsular-2_s149
1
null
transformers
33,306
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_accent_surpeninsular-8_nortepeninsular-2_s149 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-8_nortepeninsular-2_s791
f6db98c8ce3ab24175e373fefb9d41a7323cbc0c
2022-07-25T08:34:44.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_accent_surpeninsular-8_nortepeninsular-2_s791
1
null
transformers
33,307
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_accent_surpeninsular-8_nortepeninsular-2_s791 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-5_female-5_s244
fbea3a464327e53f44ae7c807c8bead5221b7865
2022-07-25T08:39:30.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-5_female-5_s244
1
null
transformers
33,308
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-5_female-5_s244 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-5_female-5_s358
afc9cd363927b136a6e5cabe8873f26c1898f71c
2022-07-25T08:44:14.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-5_female-5_s358
1
null
transformers
33,309
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-5_female-5_s358 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-5_female-5_s966
690d30f2ad6e93ea95b9808619824d3cf4f41682
2022-07-25T08:48:50.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-5_female-5_s966
1
null
transformers
33,310
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-5_female-5_s966 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-0_female-10_s33
1445ee3af7636d588a8175ae87611596ced3bc92
2022-07-25T08:53:35.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-0_female-10_s33
1
null
transformers
33,311
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-0_female-10_s33 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-0_female-10_s496
b50a6a98755cac377f65663bf53ff87fbc1065dc
2022-07-25T08:58:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-0_female-10_s496
1
null
transformers
33,312
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-0_female-10_s496 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-0_female-10_s878
78e2f55196fdd749cbdcab1f8f58252956c8a752
2022-07-25T09:03:39.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-0_female-10_s878
1
null
transformers
33,313
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-0_female-10_s878 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-10_female-0_s213
2d84c99650fc08f60817ea1c220a0094f15e42ce
2022-07-25T09:08:21.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-10_female-0_s213
1
null
transformers
33,314
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-10_female-0_s213 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-10_female-0_s246
826d50238e60261db4710dc2e53e7f71c5631835
2022-07-25T09:13:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-10_female-0_s246
1
null
transformers
33,315
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-10_female-0_s246 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-10_female-0_s784
a058f3dc4686906ea53d55c826f59ac99a55930b
2022-07-25T09:17:51.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-10_female-0_s784
1
null
transformers
33,316
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-10_female-0_s784 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-2_female-8_s557
ea3228e4d5f42fb8fae5c5d48d700319be27a946
2022-07-25T09:22:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-2_female-8_s557
1
null
transformers
33,317
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-2_female-8_s557 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
Migga/ViT-BERT-Chess-V3
aed7f73783fc806e04c4e174c8d0f67a5e2912b9
2022-07-25T13:13:42.000Z
[ "pytorch", "vision-encoder-decoder", "transformers" ]
null
false
Migga
null
Migga/ViT-BERT-Chess-V3
1
null
transformers
33,318
Entry not found
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-2_female-8_s579
eb3c60e3a270e9358f8ff0f06f3165eef41f1ff5
2022-07-25T09:27:15.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-2_female-8_s579
1
null
transformers
33,319
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-2_female-8_s579 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
sudo-s/modeversion1_m6_e4n
981e42c09fa591e7b86b7191f3a6d5c212a3f366
2022-07-27T05:03:39.000Z
[ "pytorch", "tensorboard", "vit", "image-classification", "transformers" ]
image-classification
false
sudo-s
null
sudo-s/modeversion1_m6_e4n
1
null
transformers
33,320
Entry not found
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-2_female-8_s821
c6ef10172af43d30c70a0aebc605f32443d7eec3
2022-07-25T09:32:09.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-2_female-8_s821
1
null
transformers
33,321
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-2_female-8_s821 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-8_female-2_s156
e29974759f66c610f0dc70939b0b80a3906ee82d
2022-07-25T09:37:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-8_female-2_s156
1
null
transformers
33,322
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-8_female-2_s156 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-8_female-2_s226
d0fa8963724385732b70a23697075da9ca7c16d7
2022-07-25T09:42:46.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-8_female-2_s226
1
null
transformers
33,323
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-8_female-2_s226 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-8_female-2_s417
1d65003479022ca0f773d92db70641e9c61e3fea
2022-07-25T09:47:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_es_vp-100k_gender_male-8_female-2_s417
1
null
transformers
33,324
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_es_vp-100k_gender_male-8_female-2_s417 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-5_belgium-5_s244
ae5a7a9c0289c44a7fc272750b8dbefcacfa56c4
2022-07-25T09:52:06.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-5_belgium-5_s244
1
null
transformers
33,325
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-5_belgium-5_s244 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-5_belgium-5_s558
d47a25334a5414a5c6b8cfa261cb83035835bcc7
2022-07-25T09:57:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-5_belgium-5_s558
1
null
transformers
33,326
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-5_belgium-5_s558 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-5_belgium-5_s607
5da002944899b930ce6f3dc709599fb93ef6b90c
2022-07-25T10:03:24.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-5_belgium-5_s607
1
null
transformers
33,327
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-5_belgium-5_s607 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-0_belgium-10_s290
7749495c2fbabca5e98fed0885868b5c5ec718d7
2022-07-25T10:08:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-0_belgium-10_s290
1
null
transformers
33,328
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-0_belgium-10_s290 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-0_belgium-10_s693
659c01c77ebdc6a4c679b829e56fda045daf6cc7
2022-07-25T10:13:06.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-0_belgium-10_s693
1
null
transformers
33,329
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-0_belgium-10_s693 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-0_belgium-10_s947
fb20b4c11012caab4d833a1221aef191aaf375c9
2022-07-25T10:20:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-0_belgium-10_s947
1
null
transformers
33,330
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-0_belgium-10_s947 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s271
1f29455a2daf454f010eee581f9a5aab3afcf414
2022-07-25T10:24:53.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s271
1
null
transformers
33,331
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s271 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s396
03209cebffa53e45b04e78eabbb4a75dad65fdbe
2022-07-25T10:29:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s396
1
null
transformers
33,332
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s396 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s869
825a904bd9a7749c43f4082c5775577bfb4c7651
2022-07-25T10:34:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s869
1
null
transformers
33,333
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s869 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-2_belgium-8_s204
bfaf12838115bcc24205f9c30933cf0bf9807836
2022-07-25T10:39:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-2_belgium-8_s204
1
null
transformers
33,334
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-2_belgium-8_s204 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-2_belgium-8_s284
4698ab1515119a2b36f102cff5e782db70cc5fa5
2022-07-25T10:44:11.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-2_belgium-8_s284
1
null
transformers
33,335
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-2_belgium-8_s284 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-2_belgium-8_s709
45ddbb36af4db1979412eb66476d345cc64d3355
2022-07-25T10:48:54.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-2_belgium-8_s709
1
null
transformers
33,336
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-2_belgium-8_s709 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-8_belgium-2_s365
61165cae832c9c5cb1d27f5a30dd9624f287f4f5
2022-07-25T10:53:27.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-8_belgium-2_s365
1
null
transformers
33,337
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-8_belgium-2_s365 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-8_belgium-2_s496
2269d651390110701d6c179da041f59ca8a6d7a4
2022-07-25T10:58:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-8_belgium-2_s496
1
null
transformers
33,338
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-8_belgium-2_s496 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-8_belgium-2_s671
e6e6d3d7004a2e4216f410af583dae55165d0410
2022-07-25T11:03:03.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_accent_france-8_belgium-2_s671
1
null
transformers
33,339
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_accent_france-8_belgium-2_s671 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-5_female-5_s21
58e9132219dacb693d6b492d585248a6a224b0ae
2022-07-25T11:07:39.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-5_female-5_s21
1
null
transformers
33,340
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-5_female-5_s21 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-5_female-5_s474
a0490f844d086773ada35937a70f030605c66640
2022-07-25T11:12:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-5_female-5_s474
1
null
transformers
33,341
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-5_female-5_s474 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-5_female-5_s722
fe7c048157eeccd8e04c9632351ef8c027b4f4a3
2022-07-25T11:17:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-5_female-5_s722
1
null
transformers
33,342
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-5_female-5_s722 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-0_female-10_s400
1467e88b044ccb56d40bd2f35c3856d2820964e0
2022-07-25T11:22:02.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-0_female-10_s400
1
null
transformers
33,343
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-0_female-10_s400 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-0_female-10_s469
29bc6d024249b4d34f6bf051f02431a2b932d5d7
2022-07-25T11:26:43.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-0_female-10_s469
1
null
transformers
33,344
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-0_female-10_s469 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-0_female-10_s934
88d1ca4e6273092e351716a33e53c3284a4331db
2022-07-25T11:31:25.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-0_female-10_s934
1
null
transformers
33,345
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-0_female-10_s934 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-10_female-0_s156
176b4c70db59b3abe55cd38044c4ba2aa37f0fcc
2022-07-25T11:36:21.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-10_female-0_s156
1
null
transformers
33,346
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-10_female-0_s156 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-10_female-0_s626
7865a29808e6097cf4c84e4f118287d537c5b377
2022-07-25T11:41:49.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-10_female-0_s626
1
null
transformers
33,347
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-10_female-0_s626 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-10_female-0_s714
017646224f87aed4860a504dca161983cce4dd31
2022-07-25T11:49:14.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-10_female-0_s714
1
null
transformers
33,348
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-10_female-0_s714 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-2_female-8_s255
94dcd9431a52286f614a5f72bfd80a219c813771
2022-07-25T11:54:01.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-2_female-8_s255
1
null
transformers
33,349
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-2_female-8_s255 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-2_female-8_s3
9ec0c510cfc2cc3a7bc20f7b61bd056e71b03827
2022-07-25T11:58:32.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-2_female-8_s3
1
null
transformers
33,350
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-2_female-8_s3 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-2_female-8_s473
17632e09d24d664bea5e00302b06cc917d062df5
2022-07-25T12:33:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-2_female-8_s473
1
null
transformers
33,351
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-2_female-8_s473 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-8_female-2_s428
105cdc51d25addba4e9648e7890c1f3222485cd3
2022-07-25T12:38:26.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-8_female-2_s428
1
null
transformers
33,352
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-8_female-2_s428 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-8_female-2_s500
6f242cb3aa841886d502105a19537ccd0bf85a21
2022-07-25T12:43:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-8_female-2_s500
1
null
transformers
33,353
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-8_female-2_s500 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-8_female-2_s911
9e60a33baf18626f13025a1d42c09c7635fbdf4a
2022-07-25T12:47:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_fr_vp-100k_gender_male-8_female-2_s911
1
null
transformers
33,354
--- language: - fr license: apache-2.0 tags: - automatic-speech-recognition - fr datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_fr_vp-100k_gender_male-8_female-2_s911 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-5_austria-5_s412
13f8022dd4dbbd1c7811b7d050557b3ece86852b
2022-07-25T12:52:21.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-5_austria-5_s412
1
null
transformers
33,355
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-5_austria-5_s412 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-5_austria-5_s534
6030d5b0f27ae6cc9d741f0e7be553cf90597cdd
2022-07-25T12:57:24.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-5_austria-5_s534
1
null
transformers
33,356
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-5_austria-5_s534 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-5_austria-5_s895
6bc62e6e0ad9cc592bbc94ee3daaadb3cb0d0fd2
2022-07-25T13:02:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-5_austria-5_s895
1
null
transformers
33,357
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-5_austria-5_s895 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-0_austria-10_s381
575b918d9341bafa491c7a0f4f2daf47c12ac30d
2022-07-25T13:12:15.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-0_austria-10_s381
1
null
transformers
33,358
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-0_austria-10_s381 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-0_austria-10_s673
540a59247582f2bc7cb0208cadbb58d14046f3d1
2022-07-25T13:17:09.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-0_austria-10_s673
1
null
transformers
33,359
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-0_austria-10_s673 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-10_austria-0_s295
0d6d2ae382741b0626716b39628c7d2c76139bfd
2022-07-25T13:22:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-10_austria-0_s295
1
null
transformers
33,360
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-10_austria-0_s295 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-10_austria-0_s728
06435f61578552d1cb4667da90065b9dfb0fdc15
2022-07-25T13:26:50.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-10_austria-0_s728
1
null
transformers
33,361
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-10_austria-0_s728 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-10_austria-0_s886
7f90b53a35536ae6dc97130ea6ecbc5e856977ef
2022-07-25T13:31:32.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-10_austria-0_s886
1
null
transformers
33,362
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-10_austria-0_s886 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-2_austria-8_s368
04fc94ea39247e62bf8c9e2e321a673de98771e1
2022-07-25T13:36:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-2_austria-8_s368
1
null
transformers
33,363
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-2_austria-8_s368 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-2_austria-8_s458
e4dc0be607a7f88b80a6677a28abfcda200a6a3a
2022-07-25T13:40:54.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-2_austria-8_s458
1
null
transformers
33,364
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-2_austria-8_s458 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-2_austria-8_s543
f2ec57b4a56717e3fc57862b15a1ee5dd0d46e25
2022-07-25T13:46:09.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-2_austria-8_s543
1
null
transformers
33,365
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-2_austria-8_s543 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-8_austria-2_s42
a63298c85f29683f969bfe8ebbbdf2fb7bf419f8
2022-07-25T13:51:07.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-8_austria-2_s42
1
null
transformers
33,366
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-8_austria-2_s42 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-8_austria-2_s452
25cb3cd81e0d4b51fc8e4f258ac3dc6ac269df53
2022-07-25T13:55:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-8_austria-2_s452
1
null
transformers
33,367
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-8_austria-2_s452 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-8_austria-2_s941
89c8929072ab14431fd0f749de81e18757189850
2022-07-25T14:01:11.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_accent_germany-8_austria-2_s941
1
null
transformers
33,368
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_accent_germany-8_austria-2_s941 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-5_female-5_s336
29ca4a992ec5cdfb5a92c150b3da544a0b552e64
2022-07-25T14:05:48.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-5_female-5_s336
1
null
transformers
33,369
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-5_female-5_s336 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-5_female-5_s719
b76c3344cb4e873c03bf8207bae89df9ee55cdb1
2022-07-25T14:10:54.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-5_female-5_s719
1
null
transformers
33,370
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-5_female-5_s719 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-5_female-5_s896
9e40248ebb13572dcbcc338f1aa29bc4ccf21349
2022-07-25T14:15:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-5_female-5_s896
1
null
transformers
33,371
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-5_female-5_s896 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-0_female-10_s825
71d95193c00c79cc0db49c7a2b89a58a5ff1ee19
2022-07-25T14:20:14.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-0_female-10_s825
1
null
transformers
33,372
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-0_female-10_s825 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-0_female-10_s867
4bee51faa2a4d78969470ce96dbb60c596be7ece
2022-07-25T14:24:56.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-0_female-10_s867
1
null
transformers
33,373
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-0_female-10_s867 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-0_female-10_s922
ad100aae81785b1809d1f71e1a37d8a6aa3c119c
2022-07-25T14:29:29.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-0_female-10_s922
1
null
transformers
33,374
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-0_female-10_s922 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-10_female-0_s119
59b53d5c0be23767f3d68b4ef77870fb49f36eee
2022-07-25T14:34:01.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-10_female-0_s119
1
null
transformers
33,375
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-10_female-0_s119 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-10_female-0_s204
67fdd3c3dc916536d9f7999f5fe0814c93ee006d
2022-07-25T14:38:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-10_female-0_s204
1
null
transformers
33,376
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-10_female-0_s204 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-10_female-0_s598
d37744fdad917665bd7913593c1d7e1885b57960
2022-07-25T14:43:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-10_female-0_s598
1
null
transformers
33,377
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-10_female-0_s598 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-2_female-8_s277
57022b11acc36625dcae1645b0397f73a0a5ff32
2022-07-25T14:48:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-2_female-8_s277
1
null
transformers
33,378
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-2_female-8_s277 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-2_female-8_s659
364488f6a5406ecb53633e2f3f747cce0cdb8702
2022-07-25T14:53:06.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-2_female-8_s659
1
null
transformers
33,379
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-2_female-8_s659 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-2_female-8_s755
8bd863c316675750b4407c5bbd6812ec146eecb2
2022-07-25T14:57:58.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-2_female-8_s755
1
null
transformers
33,380
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-2_female-8_s755 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-8_female-2_s185
317108958b041887f7a3c4f81327d6a0b730376e
2022-07-25T15:02:37.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-8_female-2_s185
1
null
transformers
33,381
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-8_female-2_s185 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-8_female-2_s293
0049efa0bc062f3bb3ea61ac1ab51200f67d1759
2022-07-25T15:07:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-8_female-2_s293
1
null
transformers
33,382
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-8_female-2_s293 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-8_female-2_s949
53f2d87927f9a936cdd096a84923578e39f8ce98
2022-07-25T15:12:21.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_de_xls-r_gender_male-8_female-2_s949
1
null
transformers
33,383
--- language: - de license: apache-2.0 tags: - automatic-speech-recognition - de datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_de_xls-r_gender_male-8_female-2_s949 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-5_england-5_s334
98570103ec4da983d7df772ba343275f469f585d
2022-07-25T15:17:39.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-5_england-5_s334
1
null
transformers
33,384
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-5_england-5_s334 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-5_england-5_s69
9dd5fbbbab6a602c3d5ad0f8fa3503f2664b9796
2022-07-25T15:22:12.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-5_england-5_s69
1
null
transformers
33,385
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-5_england-5_s69 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-5_england-5_s732
12c8d531a7be2fcd7c46a8148cd71e1221fad20d
2022-07-25T15:26:46.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-5_england-5_s732
1
null
transformers
33,386
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-5_england-5_s732 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-0_england-10_s664
242ce4225271bee8d2636b970e2728488787c728
2022-07-25T15:36:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-0_england-10_s664
1
null
transformers
33,387
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-0_england-10_s664 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-0_england-10_s729
938b71df3f6197e7f5eac714aa4be7381121e84f
2022-07-25T15:41:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-0_england-10_s729
1
null
transformers
33,388
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-0_england-10_s729 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-10_england-0_s253
c4df078c62c6fd27cf9cb04d320f9f6f7245d22d
2022-07-25T15:45:51.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-10_england-0_s253
1
null
transformers
33,389
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-10_england-0_s253 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-10_england-0_s569
e2166461193e9afdd1b3de9d39f37357afec7cae
2022-07-25T15:50:24.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-10_england-0_s569
1
null
transformers
33,390
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-10_england-0_s569 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
olemeyer/backup
850c935cc2a1ad7352dcd6db63dc3b0762305787
2022-07-26T09:43:37.000Z
[ "pytorch", "tensorboard", "bart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
false
olemeyer
null
olemeyer/backup
1
null
transformers
33,391
Entry not found
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-10_england-0_s947
95156b20981cbd671ab84156c4b6e31fc16af916
2022-07-25T15:55:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-10_england-0_s947
1
null
transformers
33,392
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-10_england-0_s947 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-2_england-8_s730
a66dc4455fd87c1216c1452e2fa42185c4db6f3a
2022-07-25T15:59:41.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-2_england-8_s730
1
null
transformers
33,393
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-2_england-8_s730 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-2_england-8_s805
33afabb41f78f5c1a7148e25b21e0847539629d6
2022-07-25T16:06:44.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-2_england-8_s805
1
null
transformers
33,394
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-2_england-8_s805 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-2_england-8_s930
a1b10b0107bf67c3f07f3ec2c92743281bd51673
2022-07-25T16:11:27.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-2_england-8_s930
1
null
transformers
33,395
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-2_england-8_s930 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-8_england-2_s635
34ee9d95df0e518bcffd38bda44f0a5c220c62f7
2022-07-25T16:16:09.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-8_england-2_s635
1
null
transformers
33,396
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-8_england-2_s635 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-8_england-2_s884
6f0241d605e5bc6987e1829f090300a0fc548eb4
2022-07-25T16:20:46.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-8_england-2_s884
1
null
transformers
33,397
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-8_england-2_s884 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-8_england-2_s946
65aaa9b63b1d87307f228ab5c3fda5b48146898f
2022-07-25T16:25:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_accent_us-8_england-2_s946
1
null
transformers
33,398
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_accent_us-8_england-2_s946 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2r_en_xls-r_gender_male-5_female-5_s544
84ee63b7aba26d197ba8b4f8f01969c4f03c477c
2022-07-25T16:30:07.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "en", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2r_en_xls-r_gender_male-5_female-5_s544
1
null
transformers
33,399
--- language: - en license: apache-2.0 tags: - automatic-speech-recognition - en datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2r_en_xls-r_gender_male-5_female-5_s544 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (en)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.