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davanstrien
/
pytorchmodelmetadata

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jonatasgrosman/exp_w2v2t_et_xls-r_s448
3a3b1457056821041469761f879e8fafecd6f78e
2022-07-11T01:23:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "et", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_et_xls-r_s448
2
null
transformers
27,200
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_xls-r_s448 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 (et)](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_w2v2t_et_xls-r_s107
9a3186ab0b2e86bad30b064c69e630e1cd94de0d
2022-07-11T01:33:16.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "et", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_et_xls-r_s107
2
null
transformers
27,201
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_xls-r_s107 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 (et)](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_w2v2t_et_xls-r_s662
17c8bd3426ac963bf0380ce689d4c70e5a4025a8
2022-07-11T01:42:16.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "et", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_et_xls-r_s662
2
null
transformers
27,202
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_xls-r_s662 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 (et)](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_w2v2t_et_r-wav2vec2_s468
5b3fe2cb0fd0bb383b94f79653a60bc9ce7f71a7
2022-07-11T01:49:25.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "et", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_et_r-wav2vec2_s468
2
null
transformers
27,203
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_r-wav2vec2_s468 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (et)](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_w2v2t_et_r-wav2vec2_s957
af961d64ad6d5e608ee1cf2496b862928f2c9dc9
2022-07-11T02:01:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "et", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_et_r-wav2vec2_s957
2
null
transformers
27,204
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_r-wav2vec2_s957 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (et)](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_w2v2t_et_r-wav2vec2_s732
45bd7230e103141ab6b3f654b5f67965ea13dff2
2022-07-11T02:11:14.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "et", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_et_r-wav2vec2_s732
2
null
transformers
27,205
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_r-wav2vec2_s732 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (et)](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_w2v2t_et_vp-it_s511
65590cb9a0a2c2cc2b66bd0a9fc115d41f3ce3d7
2022-07-11T02:22:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "et", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_et_vp-it_s511
2
null
transformers
27,206
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-it_s511 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (et)](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_w2v2t_et_vp-it_s992
9de4a5e7f39372c5c0da067170beffa1d6947636
2022-07-11T02:32:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "et", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_et_vp-it_s992
2
null
transformers
27,207
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-it_s992 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (et)](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_w2v2t_et_vp-it_s222
40b0b115a50d85cec5c12e7d290eacd5fafe56ec
2022-07-11T02:38:26.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "et", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_et_vp-it_s222
2
null
transformers
27,208
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-it_s222 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (et)](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_w2v2t_nl_wav2vec2_s379
edb43cb22088e0979299bd0514d720a7c7a66de9
2022-07-11T02:46:55.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_wav2vec2_s379
2
null
transformers
27,209
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_wav2vec2_s379 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_wav2vec2_s754
d2e7b725c59190be5247c3fcb5d1892b3caae0ee
2022-07-11T02:56:30.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_wav2vec2_s754
2
null
transformers
27,210
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_wav2vec2_s754 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_wav2vec2_s721
cf8568d701ddfbc3ca07214fb36558a6f89fb480
2022-07-11T03:04:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_wav2vec2_s721
2
null
transformers
27,211
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_wav2vec2_s721 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-100k_s899
21284e9323cc9bbec12d141b362effb53bccba39
2022-07-11T03:12:37.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-100k_s899
2
null
transformers
27,212
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-100k_s899 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 (nl)](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_w2v2t_nl_vp-100k_s772
cec62700bbc21d3c1006c1b3ad44c528d3fcd53c
2022-07-11T03:19:21.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-100k_s772
2
null
transformers
27,213
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-100k_s772 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 (nl)](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_w2v2t_nl_vp-100k_s408
b13abb9160971d3b0abf48a4097be8c671ae44f2
2022-07-11T03:23:46.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-100k_s408
2
null
transformers
27,214
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-100k_s408 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 (nl)](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_w2v2t_nl_xlsr-53_s799
4569d32fd0d2fbbc4e3eec3595cc8e7dae70a7fa
2022-07-11T03:28:04.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_xlsr-53_s799
2
null
transformers
27,215
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_xlsr-53_s799 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_xlsr-53_s972
d51bfd509d66c8abc98b240ec328fe7053c5e1d4
2022-07-11T03:31:44.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_xlsr-53_s972
2
null
transformers
27,216
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_xlsr-53_s972 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_xlsr-53_s948
82bdd0ab50b7bf7b4a8e515d9afa19b1da925d53
2022-07-11T03:52:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_xlsr-53_s948
2
null
transformers
27,217
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_xlsr-53_s948 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_unispeech_s853
0566b56f4d9dcd9d9ed68589c00365c7e42ba741
2022-07-11T04:05:42.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_unispeech_s853
2
null
transformers
27,218
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_unispeech_s853 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_unispeech_s493
ecebf6efcadb8bd5fe6f28ee5479e89be645e797
2022-07-11T04:15:55.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_unispeech_s493
2
null
transformers
27,219
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_unispeech_s493 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_unispeech_s683
127eb940d33601d2c0709d976111b9f15561f4e1
2022-07-11T04:24:15.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_unispeech_s683
2
null
transformers
27,220
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_unispeech_s683 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_hubert_s319
3d7b578f66b3fd8aa248f2c7184385fc689db954
2022-07-11T04:36:03.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_hubert_s319
2
null
transformers
27,221
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_hubert_s319 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_hubert_s585
9325761b413281b02dce07e2af1996805fa4944f
2022-07-11T04:50:08.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_hubert_s585
2
null
transformers
27,222
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_hubert_s585 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_hubert_s562
1aad15d6664ad60410f2b65c53303d5898186758
2022-07-11T05:00:40.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_hubert_s562
2
null
transformers
27,223
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_hubert_s562 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-sv_s703
80d9af85bcb90761f1b35daaf79afeb4bf830204
2022-07-11T05:21:29.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-sv_s703
2
null
transformers
27,224
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-sv_s703 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-sv_s607
3a1e18d67666f0f050c86de1d7dfb06bd17c5638
2022-07-11T05:27:33.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-sv_s607
2
null
transformers
27,225
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-sv_s607 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-sv_s510
5f129bacc03488fd5c1025176b264d381d191996
2022-07-11T05:34:04.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-sv_s510
2
null
transformers
27,226
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-sv_s510 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_no-pretraining_s461
fb0c762135b036bf9aac3719ff23eb4ebfd58aeb
2022-07-11T05:37:02.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_no-pretraining_s461
2
null
transformers
27,227
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_no-pretraining_s461 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_no-pretraining_s399
d6d69fe6def004cba8a0066eb1e5add9b908a79c
2022-07-11T05:40:21.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_no-pretraining_s399
2
null
transformers
27,228
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_no-pretraining_s399 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_no-pretraining_s512
f0bb7418d70eab99aa1dd921e109c678b239415d
2022-07-11T05:43:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_no-pretraining_s512
2
null
transformers
27,229
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_no-pretraining_s512 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_wavlm_s784
6219eaf8b6891208168fab0dd0f221ee0560e5e4
2022-07-11T05:46:22.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_wavlm_s784
2
null
transformers
27,230
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_wavlm_s784 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_wavlm_s213
d88cb26b3412223d691e654517484a93b5f7de2c
2022-07-11T05:49:24.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_wavlm_s213
2
null
transformers
27,231
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_wavlm_s213 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_wavlm_s246
46924fb578189c9144f8f585e8aae4e30b9baa02
2022-07-11T05:52:32.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_wavlm_s246
2
null
transformers
27,232
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_wavlm_s246 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_unispeech-ml_s23
32aba61009f3d2a1cc04e5892fd25e6b3353a91c
2022-07-11T05:55:28.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_unispeech-ml_s23
2
null
transformers
27,233
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_unispeech-ml_s23 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_unispeech-ml_s498
75a889eb043a3cc5de81647446eb3b463f79a795
2022-07-11T05:58:25.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_unispeech-ml_s498
2
null
transformers
27,234
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_unispeech-ml_s498 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_unispeech-ml_s911
185f6d1a207dc5b712439ad1c3b8525c3efd24aa
2022-07-11T06:02:17.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_unispeech-ml_s911
2
null
transformers
27,235
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_unispeech-ml_s911 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-fr_s156
42661d195fc570dde0666f20a03c4797ee9188a4
2022-07-11T06:05:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-fr_s156
2
null
transformers
27,236
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-fr_s156 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-fr_s417
cf9e6310e6d89fe7ccab03f34583dcabc2245b3a
2022-07-11T06:08:16.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-fr_s417
2
null
transformers
27,237
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-fr_s417 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-fr_s226
6f822abc667db2760e531769f261532a0014419f
2022-07-11T06:11:16.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-fr_s226
2
null
transformers
27,238
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-fr_s226 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-es_s496
3face66bb26805718b124ed387bfd312cd61c462
2022-07-11T06:14:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-es_s496
2
null
transformers
27,239
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-es_s496 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-es_s576
2caa64a4412f2d96366daa1cf282dfdf2a305cc0
2022-07-11T06:17:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-es_s576
2
null
transformers
27,240
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-es_s576 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-es_s476
817d428c12ab36c00270c3468372e9c557406e3c
2022-07-11T06:20:15.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-es_s476
2
null
transformers
27,241
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-es_s476 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-nl_s424
88f93410129b9e7da8e4b2dc92bf3fae59b4d08d
2022-07-11T06:23:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-nl_s424
2
null
transformers
27,242
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-nl_s424 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-nl_s158
68790be45f27cd1af9c963f41112e4f75c2940cd
2022-07-11T06:26:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-nl_s158
2
null
transformers
27,243
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-nl_s158 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-nl_s747
2b0821d7462dac9591c17847df9f55717771e613
2022-07-11T06:29:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-nl_s747
2
null
transformers
27,244
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-nl_s747 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_unispeech-sat_s81
2360d9611d36a5189ed68d59772c2a32eb9fd8d5
2022-07-11T06:33:53.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_unispeech-sat_s81
2
null
transformers
27,245
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_unispeech-sat_s81 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_unispeech-sat_s775
34cdf82d9a51048ff408c0775a05cf3c28f98390
2022-07-11T06:44:45.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_unispeech-sat_s775
2
null
transformers
27,246
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_unispeech-sat_s775 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_unispeech-sat_s715
3ac39daaf3af68b88a37f2004c922f097ace5016
2022-07-11T06:47:42.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_unispeech-sat_s715
2
null
transformers
27,247
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_unispeech-sat_s715 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_xls-r_s133
d25c5d150c649b3aed150e66f48760c42fbe0398
2022-07-11T06:51:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_xls-r_s133
2
null
transformers
27,248
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_xls-r_s133 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 (nl)](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_w2v2t_nl_xls-r_s831
451bef3ea1c891b3afae3831412acd4931992b95
2022-07-11T06:54:35.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_xls-r_s831
2
null
transformers
27,249
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_xls-r_s831 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 (nl)](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_w2v2t_nl_xls-r_s79
0d7dc4ce908e4f34b46e5d31472566081ae7826d
2022-07-11T06:57:53.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_xls-r_s79
2
null
transformers
27,250
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_xls-r_s79 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 (nl)](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_w2v2t_nl_r-wav2vec2_s170
51d8c0e2ec4fecce1583c9852d66f765163e18c4
2022-07-11T07:01:02.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_r-wav2vec2_s170
2
null
transformers
27,251
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_r-wav2vec2_s170 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_r-wav2vec2_s668
25708f21517598f078f2b11bb8e1f9240c70ae70
2022-07-11T07:05:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_r-wav2vec2_s668
2
null
transformers
27,252
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_r-wav2vec2_s668 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_r-wav2vec2_s925
bdafbad85bba59f0f2d53b7a65e2da78f509be6e
2022-07-11T07:09:56.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_r-wav2vec2_s925
2
null
transformers
27,253
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_r-wav2vec2_s925 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-it_s358
2ba6d4a218d48ee5a6b74ab141b6f7704b147cf3
2022-07-11T07:13:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-it_s358
2
null
transformers
27,254
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-it_s358 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_nl_vp-it_s149
991dc4215dc2be44807f05ccc65f2af2cef277cf
2022-07-11T07:16:32.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "nl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_nl_vp-it_s149
2
null
transformers
27,255
--- language: - nl license: apache-2.0 tags: - automatic-speech-recognition - nl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_nl_vp-it_s149 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (nl)](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_w2v2t_ru_wav2vec2_s108
5776370c86a1d9894dbaaafb5a3dcbec1d3f8e9b
2022-07-11T07:25:26.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_wav2vec2_s108
2
null
transformers
27,256
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_wav2vec2_s108 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_wav2vec2_s847
1d35718778568e87644d540e8867cc9da25d89e5
2022-07-11T07:28:38.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_wav2vec2_s847
2
null
transformers
27,257
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_wav2vec2_s847 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-100k_s69
d874c688bf7d7c325cbda1388602e2ef31659fd4
2022-07-11T07:35:45.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-100k_s69
2
null
transformers
27,258
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-100k_s69 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 (ru)](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_w2v2t_ru_vp-100k_s732
d6d5739591ccc1265f00cb7368af4f69567ca1dc
2022-07-11T07:39:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-100k_s732
2
null
transformers
27,259
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-100k_s732 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 (ru)](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_w2v2t_ru_vp-100k_s334
ac8a38f136b650faf0d689feded76d55b33a8632
2022-07-11T07:42:16.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-100k_s334
2
null
transformers
27,260
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-100k_s334 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 (ru)](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_w2v2t_ru_xlsr-53_s303
68d78b1de190178513ab2fe09cc756355795ea58
2022-07-11T07:45:29.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_xlsr-53_s303
2
null
transformers
27,261
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_xlsr-53_s303 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_xlsr-53_s201
12ac4042e46039c446975e1989bbc447743eed3a
2022-07-11T07:49:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_xlsr-53_s201
2
null
transformers
27,262
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_xlsr-53_s201 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_unispeech_s42
1b77406daee22c8d816f3b46822a406ce16b2f0c
2022-07-11T07:55:21.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_unispeech_s42
2
null
transformers
27,263
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_unispeech_s42 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_unispeech_s132
a06d130c3109d232ab4a533308d1235721e9c408
2022-07-11T07:58:18.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_unispeech_s132
2
null
transformers
27,264
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_unispeech_s132 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_unispeech_s607
635d4f246d71e1b051bf7d3e988c3619ae3ff79f
2022-07-11T08:01:24.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_unispeech_s607
2
null
transformers
27,265
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_unispeech_s607 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_hubert_s451
2dad3bf6befe1d5d614625db689007126ed450be
2022-07-11T08:04:23.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_hubert_s451
2
null
transformers
27,266
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_hubert_s451 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_hubert_s818
305bf974134ff204131f8e67961d7d6434d569d7
2022-07-11T08:07:47.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_hubert_s818
2
null
transformers
27,267
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_hubert_s818 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (ru)](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.
mrm8488/biomedtra-small-es-finetuned-bioasq-es
cc5811cea7cb8b82317c23b5778e605d7384392b
2022-07-11T09:27:29.000Z
[ "pytorch", "tensorboard", "electra", "question-answering", "transformers", "generated_from_trainer", "model-index", "autotrain_compatible" ]
question-answering
false
mrm8488
null
mrm8488/biomedtra-small-es-finetuned-bioasq-es
2
null
transformers
27,268
--- tags: - generated_from_trainer model-index: - name: biomedtra-small-es-finetuned-bioasq-es results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # biomedtra-small-es-finetuned-bioasq-es This model is a fine-tuned version of [mrm8488/biomedtra-small-es](https://huggingface.co/mrm8488/biomedtra-small-es) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.9869 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.214 | 1.0 | 2802 | 2.1565 | | 1.9885 | 2.0 | 5604 | 1.9794 | | 1.9288 | 3.0 | 8406 | 1.9869 | ### Framework versions - Transformers 4.20.1 - Pytorch 1.11.0+cu113 - Datasets 2.3.2 - Tokenizers 0.12.1
jonatasgrosman/exp_w2v2t_ru_hubert_s732
04fe71db2e5aebb084b7c6edea8cfd958b2da6aa
2022-07-11T08:10:54.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_hubert_s732
2
null
transformers
27,269
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_hubert_s732 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-sv_s515
6fd98a4d318412e4a024105a4ac82a7824b45582
2022-07-11T08:14:49.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-sv_s515
2
null
transformers
27,270
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-sv_s515 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-sv_s772
172947de0635fde87b7e5145037a1872bc2d1c4b
2022-07-11T08:18:26.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-sv_s772
2
null
transformers
27,271
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-sv_s772 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-sv_s658
148ebe0e9557d9c29da7f96d54188bd77b3e10aa
2022-07-11T08:21:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-sv_s658
2
null
transformers
27,272
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-sv_s658 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_no-pretraining_s727
a8c9ea8d3930b53cc3ccb70d359943f55c4a8259
2022-07-11T08:26:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_no-pretraining_s727
2
null
transformers
27,273
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_no-pretraining_s727 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_no-pretraining_s834
8ea867115cce720063c5d2e2abdc17d443ca4bb7
2022-07-11T08:33:29.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_no-pretraining_s834
2
null
transformers
27,274
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_no-pretraining_s834 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_wavlm_s363
0fdf44a85d85573a71feadd17615d98de5033890
2022-07-11T08:36:26.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_wavlm_s363
2
null
transformers
27,275
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_wavlm_s363 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_wavlm_s116
572604fc6d43a74f56dacacf5ac5c4999af729e9
2022-07-11T08:39:23.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_wavlm_s116
2
null
transformers
27,276
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_wavlm_s116 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_wavlm_s331
9b31490fa0bdef5db2c8dfea2c39892594b9ea2e
2022-07-11T08:42:19.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_wavlm_s331
2
null
transformers
27,277
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_wavlm_s331 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_unispeech-ml_s569
94bd88e6cea3a6ce1407b688643232597f7c8718
2022-07-11T08:48:36.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_unispeech-ml_s569
2
null
transformers
27,278
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_unispeech-ml_s569 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_unispeech-ml_s253
a34cd0bb940298406c2fe82ae7149920ecfa268d
2022-07-11T08:51:57.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_unispeech-ml_s253
2
null
transformers
27,279
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_unispeech-ml_s253 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-fr_s930
6b6a4216d7bc766ebc831b317db2a515d2082676
2022-07-11T08:54:54.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-fr_s930
2
null
transformers
27,280
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-fr_s930 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-fr_s805
91ce81a703608ea8ae4bf47ca65a3f2c073b4502
2022-07-11T09:01:30.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-fr_s805
2
null
transformers
27,281
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-fr_s805 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-es_s729
9b182360f2cafcaf36096113eeeb42c6d3fc31ae
2022-07-11T09:04:34.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-es_s729
2
null
transformers
27,282
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-es_s729 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-es_s664
01b9f8d5d25274bd6061abf5f3fc3183f13ccd67
2022-07-11T09:07:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-es_s664
2
null
transformers
27,283
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-es_s664 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-es_s35
00136efac32ce06d062ef5e1ee59b7578f33aed6
2022-07-11T09:10:50.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-es_s35
2
null
transformers
27,284
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-es_s35 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-nl_s328
7a3bdda21fd98e441bbb28428898d982d53d9d61
2022-07-11T09:14:06.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-nl_s328
2
null
transformers
27,285
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-nl_s328 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-nl_s131
575210dfa3976752567c4180cb0b57842e2a2ffb
2022-07-11T09:17:04.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-nl_s131
2
null
transformers
27,286
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-nl_s131 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-nl_s624
3fde87a66c5f767a29038da6cf967194337672c2
2022-07-11T09:20:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-nl_s624
2
null
transformers
27,287
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-nl_s624 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_unispeech-sat_s423
9d51ecf68421c8a7b60566d496013c6f4ed31996
2022-07-11T09:23:21.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_unispeech-sat_s423
2
null
transformers
27,288
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_unispeech-sat_s423 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_unispeech-sat_s418
76c0af966af0da3d5b3275f0f33660db85f1bca8
2022-07-11T09:26:37.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_unispeech-sat_s418
2
null
transformers
27,289
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_unispeech-sat_s418 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_unispeech-sat_s160
d0a33598fc65ce2c7c35b27c2b10a79bfb068002
2022-07-11T09:29:53.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_unispeech-sat_s160
2
null
transformers
27,290
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_unispeech-sat_s160 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_xls-r_s884
27c653608bdb88c4aa843fd7056a3fcb038d9e3d
2022-07-11T09:34:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_xls-r_s884
2
null
transformers
27,291
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_xls-r_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 (ru)](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_w2v2t_ru_xls-r_s946
0f3554b77ed24dc3026d1002141d5eb58149bfe8
2022-07-11T09:47:04.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_xls-r_s946
2
null
transformers
27,292
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_xls-r_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 (ru)](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_w2v2t_ru_r-wav2vec2_s399
84186be5c01ff794f943765271bfc97850425098
2022-07-11T09:50:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_r-wav2vec2_s399
2
null
transformers
27,293
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_r-wav2vec2_s399 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_r-wav2vec2_s408
7081828dd9e87dd99f060b8f0ac69a7a91b7604e
2022-07-11T09:53:37.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_r-wav2vec2_s408
2
null
transformers
27,294
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_r-wav2vec2_s408 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_r-wav2vec2_s869
7173a1431256e6fe20b695b59741c4ccd7ffa1cd
2022-07-11T09:56:32.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_r-wav2vec2_s869
2
null
transformers
27,295
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_r-wav2vec2_s869 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-it_s817
a681d93d6580bbf981ed10cbdbf8ee967f00c570
2022-07-11T09:59:54.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-it_s817
2
null
transformers
27,296
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-it_s817 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_ru_vp-it_s975
53a2832a18890bc76d42085902736cd10fe884ae
2022-07-11T10:03:48.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ru", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ru_vp-it_s975
2
null
transformers
27,297
--- language: - ru license: apache-2.0 tags: - automatic-speech-recognition - ru datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ru_vp-it_s975 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ru)](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_w2v2t_es_wav2vec2_s877
67578e973dc4ea19e6800a7c60a17fef330bc80c
2022-07-11T10:12:41.000Z
[ "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_w2v2t_es_wav2vec2_s877
2
null
transformers
27,298
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_wav2vec2_s877 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) 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_w2v2t_es_wav2vec2_s596
f6c0e66b0a4ffcc682697a67083df7b3df037f89
2022-07-11T10:16:07.000Z
[ "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_w2v2t_es_wav2vec2_s596
2
null
transformers
27,299
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_wav2vec2_s596 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) 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.