Datasets:
davanstrien
/
pytorchmodelmetadata

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jonatasgrosman/exp_w2v2t_ar_r-wav2vec2_s779
4197250c82447b1e054fa8580b40de70a4fb395b
2022-07-10T17:54:45.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ar_r-wav2vec2_s779
2
null
transformers
27,100
--- language: - ar license: apache-2.0 tags: - automatic-speech-recognition - ar datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ar_r-wav2vec2_s779 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 (ar)](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.
edumunozsala/mbart-large-finetune-mlsum-es
22f9e176309db6715af2e93c2bc146d0c83b7bc7
2022-07-10T17:59:26.000Z
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
false
edumunozsala
null
edumunozsala/mbart-large-finetune-mlsum-es
2
null
transformers
27,101
Entry not found
jonatasgrosman/exp_w2v2t_ar_r-wav2vec2_s527
63285fe707faa253e90d820e2bb0740a96c2e40b
2022-07-10T17:57:45.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ar_r-wav2vec2_s527
2
null
transformers
27,102
--- language: - ar license: apache-2.0 tags: - automatic-speech-recognition - ar datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ar_r-wav2vec2_s527 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 (ar)](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_ar_vp-it_s709
0263396a198d731eea6bb360f92de4d3b3aed1a1
2022-07-10T18:00:38.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ar_vp-it_s709
2
null
transformers
27,103
--- language: - ar license: apache-2.0 tags: - automatic-speech-recognition - ar datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ar_vp-it_s709 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 (ar)](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_ar_vp-it_s204
4007a6d43b27a90e9b8d3b9cabc74266b6c6db1f
2022-07-10T18:03:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ar_vp-it_s204
2
null
transformers
27,104
--- language: - ar license: apache-2.0 tags: - automatic-speech-recognition - ar datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ar_vp-it_s204 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 (ar)](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_ar_vp-it_s284
13b63ecaa3d20a5fe976fd423d046f8ab369553f
2022-07-10T18:06:48.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ar_vp-it_s284
2
null
transformers
27,105
--- language: - ar license: apache-2.0 tags: - automatic-speech-recognition - ar datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ar_vp-it_s284 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 (ar)](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.
edumunozsala/mt5-small-summarization-mlsum-es
05b9705a2b32a8d7a7b31fe23da9db4c776a0105
2022-07-10T18:10:06.000Z
[ "pytorch", "mt5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
false
edumunozsala
null
edumunozsala/mt5-small-summarization-mlsum-es
2
null
transformers
27,106
Entry not found
jonatasgrosman/exp_w2v2t_pl_wav2vec2_s530
30542bfd322299ea85d55d659567fc07ddaa0ca9
2022-07-10T18:09:43.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_wav2vec2_s530
2
null
transformers
27,107
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_wav2vec2_s530 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 (pl)](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_pl_wav2vec2_s840
ffc2e960b27dc23b660da121341cab3bb718e1a6
2022-07-10T18:13:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_wav2vec2_s840
2
null
transformers
27,108
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_wav2vec2_s840 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 (pl)](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_pl_wav2vec2_s109
cbe190f046f44809dec759d9832a613662fb9018
2022-07-10T18:16:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_wav2vec2_s109
2
null
transformers
27,109
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_wav2vec2_s109 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 (pl)](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.
edumunozsala/vit2bertin-coco-es
63350deecf61ad433b8b5bf2d3a6a535815124c5
2022-07-10T18:18:37.000Z
[ "pytorch", "vision-encoder-decoder", "transformers" ]
null
false
edumunozsala
null
edumunozsala/vit2bertin-coco-es
2
null
transformers
27,110
Entry not found
jonatasgrosman/exp_w2v2t_pl_vp-100k_s980
f1a37fefd0ffd6728f23f9838c299adc64a0aaf0
2022-07-10T18:19:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-100k_s980
2
null
transformers
27,111
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-100k_s980 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 (pl)](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_pl_vp-100k_s169
2b19deb228cee9a9a62098d425e3b34857fd2ace
2022-07-10T18:22:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-100k_s169
2
null
transformers
27,112
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-100k_s169 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 (pl)](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.
edumunozsala/vit2distilroberta-coco-en
5dcdd8bb791058669b7d6009cc0aa3ecc39e1198
2022-07-10T18:25:37.000Z
[ "pytorch", "vision-encoder-decoder", "transformers" ]
null
false
edumunozsala
null
edumunozsala/vit2distilroberta-coco-en
2
null
transformers
27,113
Entry not found
jonatasgrosman/exp_w2v2t_pl_vp-100k_s281
f06f2dec4d9287e4ed6c275240fd05f6518738cc
2022-07-10T18:25:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-100k_s281
2
null
transformers
27,114
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-100k_s281 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 (pl)](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_pl_xlsr-53_s786
a91e9981590fb6934d45d4b5e1ec7fb16448a986
2022-07-10T18:28:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_xlsr-53_s786
2
null
transformers
27,115
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_xlsr-53_s786 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 (pl)](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.
edumunozsala/vit2gpt2-es-coco-es
f32de2ac65f45afb4963cd05e5f773f85c9292fa
2022-07-10T18:31:59.000Z
[ "pytorch", "vision-encoder-decoder", "transformers" ]
null
false
edumunozsala
null
edumunozsala/vit2gpt2-es-coco-es
2
null
transformers
27,116
Entry not found
jonatasgrosman/exp_w2v2t_pl_xlsr-53_s182
001f5eb42fa24eb95da3c9a87f03c0f7076b77f5
2022-07-10T18:31:44.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_xlsr-53_s182
2
null
transformers
27,117
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_xlsr-53_s182 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 (pl)](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_pl_xlsr-53_s772
d07c246be24c8abe467d4b9cc3db7844b8b080c4
2022-07-10T18:41:10.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_xlsr-53_s772
2
null
transformers
27,118
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_xlsr-53_s772 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 (pl)](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.
edumunozsala/vit2roberta-bne-coco-es
22677f53c074fcde5a5d57b2976a9f04763484aa
2022-07-10T18:42:39.000Z
[ "pytorch", "vision-encoder-decoder", "transformers" ]
null
false
edumunozsala
null
edumunozsala/vit2roberta-bne-coco-es
2
null
transformers
27,119
Entry not found
edumunozsala/vit2roberta-base-coco-en
72e839e7d642d7bdd1b7407d5016bd776a403a10
2022-07-10T18:45:26.000Z
[ "pytorch", "vision-encoder-decoder", "transformers" ]
null
false
edumunozsala
null
edumunozsala/vit2roberta-base-coco-en
2
null
transformers
27,120
Entry not found
jonatasgrosman/exp_w2v2t_pl_unispeech_s957
dcf02a605979dc2a3e70e4503a62ecb7867bc8db
2022-07-10T18:46:39.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_unispeech_s957
2
null
transformers
27,121
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_unispeech_s957 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 (pl)](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.
edumunozsala/vit2ruperta-coco-es
f679ebfe1a99b5038d49789506ca70f047ab851b
2022-07-10T18:48:34.000Z
[ "pytorch", "vision-encoder-decoder", "transformers" ]
null
false
edumunozsala
null
edumunozsala/vit2ruperta-coco-es
2
null
transformers
27,122
Entry not found
jonatasgrosman/exp_w2v2t_pl_unispeech_s351
d0a89ab6e2dc6b361089c613fa3a049d5e98753f
2022-07-10T18:53:21.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_unispeech_s351
2
null
transformers
27,123
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_unispeech_s351 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 (pl)](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_pl_hubert_s484
0c43b3d301a2b4336fa6f42e7145765b841c9127
2022-07-10T18:56:13.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_hubert_s484
2
null
transformers
27,124
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_hubert_s484 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 (pl)](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_pl_hubert_s6
1c177047c5f74061be360783af9c8f30d842283f
2022-07-10T18:59:05.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_hubert_s6
2
null
transformers
27,125
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_hubert_s6 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 (pl)](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_pl_hubert_s995
f304ca6d57ffa98bed7197dc243d09864dd4eb37
2022-07-10T19:02:04.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_hubert_s995
2
null
transformers
27,126
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_hubert_s995 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 (pl)](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_pl_vp-sv_s187
39d893b646829a7bcad4f3d1812f5e5e6848a453
2022-07-10T19:05:03.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-sv_s187
2
null
transformers
27,127
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-sv_s187 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 (pl)](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_pl_vp-sv_s507
7be55f98edb85fe5eab9f495c7e19549003af542
2022-07-10T19:08:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-sv_s507
2
null
transformers
27,128
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-sv_s507 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 (pl)](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_pl_vp-sv_s571
9fdd2a5ad03265bab165974973148e7b5c76822b
2022-07-10T19:11:04.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-sv_s571
2
null
transformers
27,129
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-sv_s571 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 (pl)](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_pl_no-pretraining_s20
73618010d19a547e7bee1b12e416ea933e7ca20b
2022-07-10T19:13:55.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_no-pretraining_s20
2
null
transformers
27,130
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_no-pretraining_s20 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (pl)](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_pl_no-pretraining_s835
649ab72d89fb990b7a9d91a23ee7e9891718b663
2022-07-10T19:16:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_no-pretraining_s835
2
null
transformers
27,131
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_no-pretraining_s835 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (pl)](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_pl_no-pretraining_s450
29fd186e98b3118387ba0a65ae9e94221e2bfef8
2022-07-10T19:19:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_no-pretraining_s450
2
null
transformers
27,132
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_no-pretraining_s450 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (pl)](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_pl_wavlm_s250
5354bf291a98066f6a7cccc86dddad3d2df8605e
2022-07-10T19:22:48.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_wavlm_s250
2
null
transformers
27,133
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_wavlm_s250 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (pl)](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_pl_wavlm_s515
fe810e3bbc2e641f29eeee646e3b18f5a12356be
2022-07-10T19:25:40.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_wavlm_s515
2
null
transformers
27,134
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_wavlm_s515 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (pl)](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_pl_wavlm_s859
11af9bcb56dd951c12159186f51fbf19b31b588b
2022-07-10T19:28:38.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_wavlm_s859
2
null
transformers
27,135
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_wavlm_s859 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (pl)](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_pl_unispeech-ml_s463
789a0aec62e8cbbb6fb6aafc0e1f6b2884ff5caa
2022-07-10T19:31:43.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_unispeech-ml_s463
2
null
transformers
27,136
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_unispeech-ml_s463 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 (pl)](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_pl_unispeech-ml_s362
7299a8fc69a78840b7423207be207ec1b45b6903
2022-07-10T19:34:49.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_unispeech-ml_s362
2
null
transformers
27,137
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_unispeech-ml_s362 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 (pl)](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_pl_unispeech-ml_s240
f6413350157d299d2389d40575495edf7722cc15
2022-07-10T19:38:00.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_unispeech-ml_s240
2
null
transformers
27,138
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_unispeech-ml_s240 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 (pl)](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_pl_vp-fr_s932
3e6cdbab0ad1487561faac92f6f4621efe809cfb
2022-07-10T19:40:55.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-fr_s932
2
null
transformers
27,139
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-fr_s932 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 (pl)](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_pl_vp-fr_s354
645ea4e6b9cbcf91e49812419b85dcfac29cdefe
2022-07-10T19:44:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-fr_s354
2
null
transformers
27,140
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-fr_s354 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 (pl)](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_pl_vp-fr_s807
7582a659f3e27b16337475308e34c2efd1e67829
2022-07-10T19:46:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-fr_s807
2
null
transformers
27,141
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-fr_s807 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 (pl)](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_pl_vp-es_s840
b5a6230560d021f5035f8688d7023d410ef0d108
2022-07-10T19:49:58.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-es_s840
2
null
transformers
27,142
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-es_s840 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 (pl)](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_pl_vp-es_s438
b68d342f4f70d51e9227deee2bd4cb0fc44483f7
2022-07-10T19:53:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-es_s438
2
null
transformers
27,143
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-es_s438 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 (pl)](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_pl_vp-es_s187
945447023e7e0cc8134ea063766ee28e5ae9cb7b
2022-07-10T19:55:58.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-es_s187
2
null
transformers
27,144
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-es_s187 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 (pl)](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_pl_vp-nl_s61
4b255297369f1174d46439686a915994394ff15f
2022-07-10T19:59:48.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-nl_s61
2
null
transformers
27,145
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-nl_s61 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 (pl)](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_pl_vp-nl_s885
991132630e548dbee88967d117b03e2db7b5261a
2022-07-10T20:02:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-nl_s885
2
null
transformers
27,146
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-nl_s885 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 (pl)](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_pl_vp-nl_s632
714c83a316991a24c84a396b758e4ed245190e1f
2022-07-10T20:05:57.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-nl_s632
2
null
transformers
27,147
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-nl_s632 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 (pl)](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_pl_unispeech-sat_s695
4f1a5365b7db1c53559b688cf2e0fa106604369b
2022-07-10T20:09:15.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_unispeech-sat_s695
2
null
transformers
27,148
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_unispeech-sat_s695 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 (pl)](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.
aws-ai/dse-bert-large
7100d49b06f74ea00f6acebe4f74d342ec9b30d2
2022-07-10T21:10:37.000Z
[ "pytorch", "bert", "transformers" ]
null
false
aws-ai
null
aws-ai/dse-bert-large
2
null
transformers
27,149
Entry not found
jonatasgrosman/exp_w2v2t_pl_unispeech-sat_s961
3f68d60c8fa4ddfd592385c995b4f562392631c8
2022-07-10T20:12:27.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_unispeech-sat_s961
2
null
transformers
27,150
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_unispeech-sat_s961 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 (pl)](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_pl_unispeech-sat_s951
89883111518c4cd3505c996196775bd3d4fa0b96
2022-07-10T20:15:51.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_unispeech-sat_s951
2
null
transformers
27,151
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_unispeech-sat_s951 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 (pl)](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_pl_xls-r_s235
784bd92585698126f24c3c0871a65610e24b2810
2022-07-10T20:19:07.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_xls-r_s235
2
null
transformers
27,152
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_xls-r_s235 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 (pl)](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_pl_xls-r_s287
c01fb6fb3dacab57c83ea306ddf42674f7303d14
2022-07-10T20:22:43.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_xls-r_s287
2
null
transformers
27,153
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_xls-r_s287 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 (pl)](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_pl_xls-r_s471
338c9064c5f6255056bd97ddd0762c578ca07ef5
2022-07-10T20:25:56.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_xls-r_s471
2
null
transformers
27,154
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_xls-r_s471 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 (pl)](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_pl_r-wav2vec2_s72
23c9b311c64bd939c0528722ff834bcdf4fd6045
2022-07-10T20:29:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_r-wav2vec2_s72
2
null
transformers
27,155
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_r-wav2vec2_s72 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 (pl)](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_pl_r-wav2vec2_s51
cd77f718e0114bdcbd67e994dfff23ef29b6ec4c
2022-07-10T20:33:14.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_r-wav2vec2_s51
2
null
transformers
27,156
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_r-wav2vec2_s51 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 (pl)](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_pl_r-wav2vec2_s996
e2f810c256ec2e97ee83132461482daf6dfb3f81
2022-07-10T20:36:52.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_r-wav2vec2_s996
2
null
transformers
27,157
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_r-wav2vec2_s996 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 (pl)](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_pl_vp-it_s265
96f827b6d545f43ac330077d94677be7afddbcea
2022-07-10T20:39:45.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-it_s265
2
null
transformers
27,158
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-it_s265 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 (pl)](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_pl_vp-it_s157
c45b5a7c1c37d69234206138085ceee0f2608dbc
2022-07-10T20:42:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-it_s157
2
null
transformers
27,159
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-it_s157 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 (pl)](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_pl_vp-it_s474
560c61c533158ac736e062ecdb50c2c1c74b6953
2022-07-10T20:46:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pl", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pl_vp-it_s474
2
null
transformers
27,160
--- language: - pl license: apache-2.0 tags: - automatic-speech-recognition - pl datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pl_vp-it_s474 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 (pl)](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_wav2vec2_s112
39e2d50b03d538ed32ef405579c22b152f7b8c15
2022-07-10T20:49:17.000Z
[ "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_wav2vec2_s112
2
null
transformers
27,161
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_wav2vec2_s112 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 (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_wav2vec2_s253
b025203f69344398245a580b0f99b5bf5e9f4ef8
2022-07-10T20:52:12.000Z
[ "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_wav2vec2_s253
2
null
transformers
27,162
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_wav2vec2_s253 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 (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_wav2vec2_s635
eee19f1b628938bcaef769fe7333e3e9568ef117
2022-07-10T20:55:04.000Z
[ "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_wav2vec2_s635
2
null
transformers
27,163
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_wav2vec2_s635 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 (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-100k_s103
2589995f2d8b0d04bbb5eb184de8bdc09ed6bd22
2022-07-10T20:58:08.000Z
[ "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_vp-100k_s103
2
null
transformers
27,164
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-100k_s103 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 (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-100k_s756
9184c1c6b67d30a241239e5c1ec0d14c3bda65c3
2022-07-10T21:23:08.000Z
[ "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_vp-100k_s756
2
null
transformers
27,165
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-100k_s756 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 (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.
nestoralvaro/distilbert-base-uncased-finetuned-ner_only_actions
605c1cea1c1db44871e5d2df8cc1de51383d4c23
2022-07-10T21:29:06.000Z
[ "pytorch", "tensorboard", "distilbert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
nestoralvaro
null
nestoralvaro/distilbert-base-uncased-finetuned-ner_only_actions
2
null
transformers
27,166
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: distilbert-base-uncased-finetuned-ner_only_actions 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. --> # distilbert-base-uncased-finetuned-ner_only_actions This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0931 - Precision: 0.0 - Recall: 0.0 - F1: 0.0 - Accuracy: 0.9844 ## 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 | Precision | Recall | F1 | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:| | No log | 1.0 | 15 | 0.0949 | 0.0 | 0.0 | 0.0 | 0.9844 | | No log | 2.0 | 30 | 0.0951 | 0.0 | 0.0 | 0.0 | 0.9844 | | No log | 3.0 | 45 | 0.0931 | 0.0 | 0.0 | 0.0 | 0.9844 | ### Framework versions - Transformers 4.20.1 - Pytorch 1.11.0+cu113 - Datasets 2.3.2 - Tokenizers 0.12.1
jonatasgrosman/exp_w2v2t_et_vp-100k_s377
b639c7e820bd2e0ac41437d7ad055a30feaa28c6
2022-07-10T21:58:55.000Z
[ "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-100k_s377
2
null
transformers
27,167
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-100k_s377 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 (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_xlsr-53_s474
1243a138c4b359199915996161d3359dd4eccf69
2022-07-10T22:11:50.000Z
[ "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_xlsr-53_s474
2
null
transformers
27,168
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_xlsr-53_s474 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 (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_xlsr-53_s186
8a52d6954adc59bad073723699bbb69056e4fe68
2022-07-10T22:25:50.000Z
[ "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_xlsr-53_s186
2
null
transformers
27,169
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_xlsr-53_s186 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 (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_unispeech_s605
d7f4133b3469f4d9811ae5e2812557f02bbc7dba
2022-07-10T22:28:55.000Z
[ "pytorch", "unispeech", "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_unispeech_s605
2
null
transformers
27,170
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_unispeech_s605 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 (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_unispeech_s177
3c02024f78d8ba504eb5bc65776b8a49982980eb
2022-07-10T22:31:56.000Z
[ "pytorch", "unispeech", "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_unispeech_s177
2
null
transformers
27,171
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_unispeech_s177 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 (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_unispeech_s86
e7f21e176c64d1401e3bba999dbfc1813d11f128
2022-07-10T22:34:47.000Z
[ "pytorch", "unispeech", "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_unispeech_s86
2
null
transformers
27,172
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_unispeech_s86 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 (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_hubert_s118
05c1f09480c9345662ac8899d21dec339edbbb41
2022-07-10T22:38:12.000Z
[ "pytorch", "hubert", "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_hubert_s118
2
null
transformers
27,173
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_hubert_s118 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 (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_hubert_s507
cd43375b4d480f38f311b531c834a2d2ffb7ee46
2022-07-10T22:41:25.000Z
[ "pytorch", "hubert", "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_hubert_s507
2
null
transformers
27,174
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_hubert_s507 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 (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_hubert_s390
7f2e0b25a43f4543c9f44875ac3ddedd9b227986
2022-07-10T22:44:26.000Z
[ "pytorch", "hubert", "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_hubert_s390
2
null
transformers
27,175
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_hubert_s390 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 (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-sv_s953
38a5e4a926cddb35dbd9f1443a7c3530d52d950c
2022-07-10T22:47:21.000Z
[ "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-sv_s953
2
null
transformers
27,176
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-sv_s953 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 (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-sv_s807
dfac4664c11e0308f988ba8bd2f07c16a72ac0d5
2022-07-10T22:50:16.000Z
[ "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_vp-sv_s807
2
null
transformers
27,177
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-sv_s807 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 (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-sv_s445
9f12c9d212b7c9fec4bc97a9bfb09d2c3e873236
2022-07-10T22:53:24.000Z
[ "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-sv_s445
2
null
transformers
27,178
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-sv_s445 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 (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_no-pretraining_s211
aa66d5675c2ab9706dd08c4bc01f14726848a08e
2022-07-10T22:56:22.000Z
[ "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_no-pretraining_s211
2
null
transformers
27,179
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_no-pretraining_s211 Fine-tuned randomly initialized wav2vec2 model 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_no-pretraining_s568
3eae6ff3db8aaa4dff794e64c617d5ceedd3d0aa
2022-07-10T22:59:15.000Z
[ "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_no-pretraining_s568
2
null
transformers
27,180
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_no-pretraining_s568 Fine-tuned randomly initialized wav2vec2 model 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_no-pretraining_s663
d70be4438c3f1830ae90578a8d5f5acabfdede2d
2022-07-10T23:04:46.000Z
[ "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_no-pretraining_s663
2
null
transformers
27,181
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_no-pretraining_s663 Fine-tuned randomly initialized wav2vec2 model 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_wavlm_s753
e4930cc0c72fbe5fe401654780958de114abfb8a
2022-07-10T23:09:20.000Z
[ "pytorch", "wavlm", "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_wavlm_s753
2
null
transformers
27,182
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_wavlm_s753 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) 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_wavlm_s887
c9d7d831ecb155553696377050788ffa27f7e16d
2022-07-10T23:17:52.000Z
[ "pytorch", "wavlm", "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_wavlm_s887
2
null
transformers
27,183
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_wavlm_s887 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) 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_wavlm_s455
7b2b283ab202bbc26887fc5ede7211e463d00a59
2022-07-10T23:23:31.000Z
[ "pytorch", "wavlm", "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_wavlm_s455
2
null
transformers
27,184
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_wavlm_s455 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) 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_unispeech-ml_s779
fee3684cf34a7fb95847a01eabc76bd5686915c5
2022-07-10T23:31:09.000Z
[ "pytorch", "unispeech", "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_unispeech-ml_s779
2
null
transformers
27,185
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_unispeech-ml_s779 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 (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_unispeech-ml_s527
b833ba95f2b1e717e94c845e6f0b03b7393c4180
2022-07-10T23:36:00.000Z
[ "pytorch", "unispeech", "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_unispeech-ml_s527
2
null
transformers
27,186
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_unispeech-ml_s527 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 (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_unispeech-ml_s545
5e2a6fc55b769bfce59b45d4603db9370268a5e8
2022-07-10T23:44:50.000Z
[ "pytorch", "unispeech", "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_unispeech-ml_s545
2
null
transformers
27,187
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_unispeech-ml_s545 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 (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-fr_s91
f56f60bec1a6eed15421c8d98d4058cf54881889
2022-07-10T23:50:22.000Z
[ "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-fr_s91
2
null
transformers
27,188
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-fr_s91 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 (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-fr_s581
b5b2e57362ebc529baf8ac3e361ad532ace25b98
2022-07-10T23:57:47.000Z
[ "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-fr_s581
2
null
transformers
27,189
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-fr_s581 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 (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-fr_s600
9ea15edea40738997ae561943141a903c4ec3c88
2022-07-11T00:03:53.000Z
[ "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-fr_s600
2
null
transformers
27,190
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-fr_s600 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 (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-es_s3
a1b613d49c9c05d36c80fac4e2ebffd15bba7100
2022-07-11T00:07:58.000Z
[ "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-es_s3
2
null
transformers
27,191
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-es_s3 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 (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-es_s95
e0738d3b3589d74242a9192000ab4bf6f1a5bd58
2022-07-11T00:13:50.000Z
[ "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-es_s95
2
null
transformers
27,192
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-es_s95 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 (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-es_s803
68be69cf1f61792714bde436ae45352bd6c35533
2022-07-11T00:20:03.000Z
[ "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-es_s803
2
null
transformers
27,193
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-es_s803 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 (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-nl_s353
92d4ff957dd55345b8499ff2f31444c40bf7cf6f
2022-07-11T00:25:52.000Z
[ "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-nl_s353
2
null
transformers
27,194
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-nl_s353 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 (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-nl_s354
fc4027ded8cd301cb2493d00ffe71595d3b14583
2022-07-11T00:31:29.000Z
[ "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-nl_s354
2
null
transformers
27,195
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-nl_s354 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 (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-nl_s797
c20f62e8a095cdc6c081b513084d1af7f38bea30
2022-07-11T00:49:24.000Z
[ "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-nl_s797
2
null
transformers
27,196
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_vp-nl_s797 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 (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_unispeech-sat_s364
ec1eb76caca92d1a7f6f170336f14c6587d8e07b
2022-07-11T01:00:50.000Z
[ "pytorch", "unispeech-sat", "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_unispeech-sat_s364
2
null
transformers
27,197
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_unispeech-sat_s364 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 (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_unispeech-sat_s108
ab7f25c7199d13a3ce12a7e725748f8e6a451fba
2022-07-11T01:09:54.000Z
[ "pytorch", "unispeech-sat", "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_unispeech-sat_s108
2
null
transformers
27,198
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_unispeech-sat_s108 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 (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_unispeech-sat_s211
1204de2c2ffee61ba0b312c9147dcfb8bff1d344
2022-07-11T01:18:21.000Z
[ "pytorch", "unispeech-sat", "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_unispeech-sat_s211
2
null
transformers
27,199
--- language: - et license: apache-2.0 tags: - automatic-speech-recognition - et datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_et_unispeech-sat_s211 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 (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.