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jonatasgrosman/exp_w2v2t_sv-se_unispeech-ml_s729
96e30594aacc1a1a1b2334813661017c8b54befb
2022-07-09T17:54:02.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_unispeech-ml_s729
2
null
transformers
26,800
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_unispeech-ml_s729 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_unispeech-ml_s664
7e2e541c2db5176d27328b8277d96b7c70717b21
2022-07-09T17:57:26.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_unispeech-ml_s664
2
null
transformers
26,801
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_unispeech-ml_s664 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-fr_s79
892473d95906784944c1a738180fb843187a4023
2022-07-09T18:01:03.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-fr_s79
2
null
transformers
26,802
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-fr_s79 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-fr_s387
b465db812ddaa9de3553132d0e0e211a415ec22b
2022-07-09T18:04:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-fr_s387
2
null
transformers
26,803
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-fr_s387 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-fr_s237
eb6e99716c9272f206e50c769b0e85cdf58ca8c3
2022-07-09T18:08:25.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-fr_s237
2
null
transformers
26,804
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-fr_s237 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-es_s399
efa4acacc2de7395384cfefedd212f812d0a00a5
2022-07-09T18:11:32.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-es_s399
2
null
transformers
26,805
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-es_s399 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-es_s869
c88759946892d836be234ba0e5bb8258648563c3
2022-07-09T18:15:41.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-es_s869
2
null
transformers
26,806
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-es_s869 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-es_s408
167f2306c55c71eaad2fc4063ced914c41819a50
2022-07-09T18:21:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-es_s408
2
null
transformers
26,807
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-es_s408 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-nl_s764
480855604883f25dcc60f59913580ca7f46c3ecc
2022-07-09T18:25:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-nl_s764
2
null
transformers
26,808
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-nl_s764 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-nl_s842
23e6bdbb3c46f14fd2db6d95a217be3d0549074e
2022-07-09T18:28:44.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-nl_s842
2
null
transformers
26,809
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-nl_s842 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-nl_s615
c50ed737ad26db88a5be81bcbdcb5885fbc2421c
2022-07-09T18:32:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-nl_s615
2
null
transformers
26,810
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-nl_s615 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_unispeech-sat_s515
907a81854c425f352c957b42a8ac47b50fec46f5
2022-07-09T18:45:49.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_unispeech-sat_s515
2
null
transformers
26,811
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_unispeech-sat_s515 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_unispeech-sat_s772
157748441571a49394613e49563ee33c1c89f4b0
2022-07-09T18:49:59.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_unispeech-sat_s772
2
null
transformers
26,812
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_unispeech-sat_s772 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_unispeech-sat_s658
ac5aad8296d1ba131ba2ff2c1da2f77a318006e8
2022-07-09T18:53:40.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_unispeech-sat_s658
2
null
transformers
26,813
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_unispeech-sat_s658 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_xls-r_s610
a45162766af6d047d4508bbf8126c7cb8fac883d
2022-07-09T18:57:39.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_xls-r_s610
2
null
transformers
26,814
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_xls-r_s610 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_xls-r_s926
8405c15f7246e0065c60088ab3d0001ef064ffa9
2022-07-09T19:05:58.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_xls-r_s926
2
null
transformers
26,815
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_xls-r_s926 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_xls-r_s946
2ecdc4908f76f41c3d036bb2f1f25445fb8c6bee
2022-07-09T19:13:12.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_xls-r_s946
2
null
transformers
26,816
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_r-wav2vec2_s160
54e283ad72f0efd7146f945fe01791ddb43a5c41
2022-07-09T19:17:35.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_r-wav2vec2_s160
2
null
transformers
26,817
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_r-wav2vec2_s160 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_r-wav2vec2_s423
c06e60e26f4f571ebdf4f60c0262fa6833619b8a
2022-07-09T19:21:33.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_r-wav2vec2_s423
2
null
transformers
26,818
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_r-wav2vec2_s423 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_r-wav2vec2_s418
fa3edb565f63d0dd9c2c9ce8c673693c7a5d7273
2022-07-09T19:24:43.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_r-wav2vec2_s418
2
null
transformers
26,819
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_r-wav2vec2_s418 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-it_s975
f8c98188e26a3ba571bc26a2d3fc556395c376b6
2022-07-09T19:29:29.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-it_s975
2
null
transformers
26,820
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-it_s533
c6ceae4a3382a613076b26bb0d7a771b16fbbf08
2022-07-09T19:33:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-it_s533
2
null
transformers
26,821
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_vp-it_s533 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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_sv-se_vp-it_s817
52cdfe020185923824dff961400a87b8818361cf
2022-07-09T19:37:23.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "sv-SE", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_sv-se_vp-it_s817
2
null
transformers
26,822
--- language: - sv-SE license: apache-2.0 tags: - automatic-speech-recognition - sv-SE datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_sv-se_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 (sv-SE)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_wav2vec2_s168
be6c7d1b11b376296840cc7fb2e503c48312f13b
2022-07-09T19:45:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_wav2vec2_s168
2
null
transformers
26,823
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_wav2vec2_s168 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_wav2vec2_s873
4ff250da7a815efbb9889c1f1906303aa32ab281
2022-07-09T19:49:50.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_wav2vec2_s873
2
null
transformers
26,824
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_wav2vec2_s873 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-100k_s88
acc1ed120b5ea223330610520c1dae6fb2c0d053
2022-07-09T19:53:55.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-100k_s88
2
null
transformers
26,825
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-100k_s88 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-100k_s407
415277e8075abf24fc2a4f8bde38c132dac20fb5
2022-07-09T19:57:09.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-100k_s407
2
null
transformers
26,826
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-100k_s407 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-100k_s881
b06c7598882da2fb90af350383e1325c0ca9fc73
2022-07-09T20:01:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-100k_s881
2
null
transformers
26,827
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-100k_s881 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_xlsr-53_s116
c1193d26eb453622edb9f598bab2732d925b1772
2022-07-09T20:05:10.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_xlsr-53_s116
2
null
transformers
26,828
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_xlsr-53_s116 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_xlsr-53_s356
d679af2dfc9a2fe847f6d650fc6d22418a375abd
2022-07-09T20:10:33.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_xlsr-53_s356
2
null
transformers
26,829
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_xlsr-53_s356 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_xlsr-53_s204
e681f9f4f35e65795efa91580a37fcd774af3cc1
2022-07-09T20:15:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_xlsr-53_s204
2
null
transformers
26,830
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_xlsr-53_s204 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_unispeech_s211
3427e4dbc97d0be74afede6f79d624eaf6ec2c95
2022-07-09T20:19:02.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_unispeech_s211
2
null
transformers
26,831
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_unispeech_s211 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_unispeech_s108
ee8280f190a8a940e418000bf6432e25e36dbfa2
2022-07-09T20:22:30.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_unispeech_s108
2
null
transformers
26,832
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_unispeech_s108 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_hubert_s601
33531601b5f5fcef5fff2209905a4abecfa3206c
2022-07-09T20:33:14.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_hubert_s601
2
null
transformers
26,833
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_hubert_s601 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-sv_s749
fe1b4391dc1339c8de5fe709b1770df48d5b7bdc
2022-07-09T20:40:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-sv_s749
2
null
transformers
26,834
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-sv_s749 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-sv_s738
9db6e2b67c01644e537d67a68ed02765e707f2d4
2022-07-09T20:45:35.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-sv_s738
2
null
transformers
26,835
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-sv_s738 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-sv_s689
5f5c02ac835fff5f74cc0fd4e5523446fcbd38e7
2022-07-09T20:49:09.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-sv_s689
2
null
transformers
26,836
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-sv_s689 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_no-pretraining_s117
1b4d65b30d9a03f8ce3bf1f6e5fc446ef74488a5
2022-07-09T20:53:38.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_no-pretraining_s117
2
null
transformers
26,837
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_no-pretraining_s117 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_no-pretraining_s650
39e77676bd4842951fb21c4ff5f5c00dea863c58
2022-07-09T20:57:07.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_no-pretraining_s650
2
null
transformers
26,838
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_no-pretraining_s650 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_no-pretraining_s28
cf6b01b31674a9e1d1c0bf4e677b019e0e799502
2022-07-09T21:01:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_no-pretraining_s28
2
null
transformers
26,839
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_no-pretraining_s28 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
Bistolero/nl_6_32b_linear_t612_240
aa691f3dd47b9da6095943f8613af0026a67ce75
2022-07-09T21:06:02.000Z
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
false
Bistolero
null
Bistolero/nl_6_32b_linear_t612_240
2
null
transformers
26,840
Entry not found
jonatasgrosman/exp_w2v2t_fa_wavlm_s545
90e9de9e314d98f53616c01838ce1682ab8b9d31
2022-07-09T22:47:40.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_wavlm_s545
2
null
transformers
26,841
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_wavlm_s545 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_unispeech-ml_s195
0bd142a0507869d219280047e629be054cc74c1b
2022-07-09T22:50:51.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_unispeech-ml_s195
2
null
transformers
26,842
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_unispeech-ml_s195 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_unispeech-ml_s408
07d8dca7ac2edb313d8356351a5aa953cd3adb7d
2022-07-09T22:54:26.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_unispeech-ml_s408
2
null
transformers
26,843
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_unispeech-ml_s408 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_unispeech-ml_s998
bd776eb2068f5186983e75b6c8bc9fa44b5a97a1
2022-07-09T22:57:27.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_unispeech-ml_s998
2
null
transformers
26,844
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_unispeech-ml_s998 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-fr_s282
3027187d759790a8166f9b4bd6b6296b6b7fb187
2022-07-09T23:00:33.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-fr_s282
2
null
transformers
26,845
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-fr_s282 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-fr_s198
936e1b412cff6e124c9f8045fb33d94eba50a5e4
2022-07-09T23:04:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-fr_s198
2
null
transformers
26,846
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-fr_s198 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-fr_s165
d361987b61d6ee38e6ff2e5729f615efccd267cd
2022-07-09T23:07:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-fr_s165
2
null
transformers
26,847
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-fr_s165 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-es_s533
e95d9e02200c96998f4eb0f1aeb38c051534a845
2022-07-09T23:10:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-es_s533
2
null
transformers
26,848
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-es_s533 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-es_s419
1cbfe813e1f355681cc6b5cb226fba3f2cabb4ed
2022-07-09T23:14:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-es_s419
2
null
transformers
26,849
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-es_s419 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-es_s555
f4fbca8ea29070c98af9ae3c063e0de05464ef6d
2022-07-09T23:17:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-es_s555
2
null
transformers
26,850
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-es_s555 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-nl_s376
cf286b3f22d18ce0a2c2279baecf8f34263e2f2e
2022-07-09T23:20:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-nl_s376
2
null
transformers
26,851
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-nl_s376 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-nl_s339
41e57ed89f19a5e3dcc7f7e8f54412274dcdd6f6
2022-07-09T23:23:49.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-nl_s339
2
null
transformers
26,852
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-nl_s339 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-nl_s224
4df5667ea42c110a482b418a0fc7497e75a5ec7e
2022-07-09T23:27:26.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-nl_s224
2
null
transformers
26,853
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-nl_s224 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_unispeech-sat_s3
94c62c2541da8bde05a4d890854f38840aee6533
2022-07-09T23:34:30.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_unispeech-sat_s3
2
null
transformers
26,854
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_unispeech-sat_s3 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_unispeech-sat_s95
e049014f44f8d109305032e3b5f8e1d60352b2fa
2022-07-09T23:37:40.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_unispeech-sat_s95
2
null
transformers
26,855
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_unispeech-sat_s95 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_xls-r_s44
fc5fb84025bc3d0f2a0ded3db03b2b3303902ee1
2022-07-09T23:40:45.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_xls-r_s44
2
null
transformers
26,856
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_xls-r_s44 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_xls-r_s406
cdfcfb1cfd1f2a1c55355c8de34cc844518ac92e
2022-07-09T23:44:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_xls-r_s406
2
null
transformers
26,857
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_xls-r_s406 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_xls-r_s610
8aedeb5db9c45679e623b80c41cefe2d4adfe048
2022-07-09T23:47:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_xls-r_s610
2
null
transformers
26,858
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_xls-r_s610 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_r-wav2vec2_s283
6ec3b841498e9615e0f121cfc7239585ea0631e3
2022-07-09T23:50:49.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_r-wav2vec2_s283
2
null
transformers
26,859
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_r-wav2vec2_s283 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_r-wav2vec2_s129
a100c3e43a9e09e0f49142a4ccfd992a4dd94fe7
2022-07-09T23:53:50.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_r-wav2vec2_s129
2
null
transformers
26,860
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_r-wav2vec2_s129 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_r-wav2vec2_s401
525527d0d1c230a6d16b67480134c390b73ccd79
2022-07-09T23:56:58.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_r-wav2vec2_s401
2
null
transformers
26,861
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_r-wav2vec2_s401 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-it_s64
88679d2914a9a481f697491f6cb2e5b47afda4a2
2022-07-10T00:03:12.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-it_s64
2
null
transformers
26,862
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-it_s64 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_fa_vp-it_s985
893eb06b0af393ed1b81aa6c7c313863f9c4a406
2022-07-10T00:08:53.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fa", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_fa_vp-it_s985
2
null
transformers
26,863
--- language: - fa license: apache-2.0 tags: - automatic-speech-recognition - fa datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_fa_vp-it_s985 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 (fa)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_wav2vec2_s615
353efc0078c952a0cd7ff112218dbbb25a03cf82
2022-07-10T00:12:27.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_wav2vec2_s615
2
null
transformers
26,864
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_wav2vec2_s615 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_wav2vec2_s764
4dafa7a5430a5235eb94ca49108af5ac8a1c1086
2022-07-10T00:17:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_wav2vec2_s764
2
null
transformers
26,865
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_wav2vec2_s764 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_wav2vec2_s842
ac7a244639ac5d430697f6ff5e7f3d84543dbaf0
2022-07-10T00:21:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_wav2vec2_s842
2
null
transformers
26,866
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_wav2vec2_s842 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-100k_s328
bdc15bb173e6237e12cbc999fc5580bf399c7194
2022-07-10T00:26:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-100k_s328
2
null
transformers
26,867
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-100k_s328 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-100k_s624
33c724d6e5fda950fb2f67163b8b02609b7193cb
2022-07-10T00:29:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-100k_s624
2
null
transformers
26,868
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-100k_s624 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
yam1ke/test
498f960a0a325e4b505cc3a50d9911862ae2c8ba
2022-07-10T00:36:35.000Z
[ "pytorch", "distilbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
yam1ke
null
yam1ke/test
2
null
transformers
26,869
Entry not found
jonatasgrosman/exp_w2v2t_zh-cn_vp-100k_s131
140d546f2fed706c0d9cc94918f8b48f43e0279c
2022-07-10T00:36:38.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-100k_s131
2
null
transformers
26,870
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-100k_s131 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
yam1ke/test2
109493344b0ba7689b87f172da524b88a31b2b77
2022-07-10T14:43:24.000Z
[ "pytorch", "distilbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
yam1ke
null
yam1ke/test2
2
null
transformers
26,871
Entry not found
jonatasgrosman/exp_w2v2t_zh-cn_xlsr-53_s975
9c6ae516a9c0cd4bd4a4cd218bd54ee59b017234
2022-07-10T00:44:53.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_xlsr-53_s975
2
null
transformers
26,872
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_xlsr-53_s975 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_xlsr-53_s533
27e276e5e8cb2f75eda0eec4a162cf2ebaf2d297
2022-07-10T00:47:49.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_xlsr-53_s533
2
null
transformers
26,873
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_xlsr-53_s533 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_xlsr-53_s817
c388cc81e1fc9951828f95468c66373df7d79a59
2022-07-10T00:50:51.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_xlsr-53_s817
2
null
transformers
26,874
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_xlsr-53_s817 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_unispeech_s929
8c00455a9873a3d094c3090fe5f89f4847404c78
2022-07-10T00:53:51.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_unispeech_s929
2
null
transformers
26,875
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_unispeech_s929 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_unispeech_s784
1ddeacd409a3f5756ce89b9677888dba58c7afaa
2022-07-10T00:56:53.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_unispeech_s784
2
null
transformers
26,876
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_unispeech_s784 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_unispeech_s189
c7ed45df218982ca3b45af66abdba5b7c812edde
2022-07-10T00:59:51.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_unispeech_s189
2
null
transformers
26,877
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_unispeech_s189 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_hubert_s358
9230d6516aac0910e37b580c278186775accb287
2022-07-10T01:03:01.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_hubert_s358
2
null
transformers
26,878
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_hubert_s358 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_hubert_s449
67d59167063d3ae40e00d4f68282d8292921f633
2022-07-10T01:06:08.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_hubert_s449
2
null
transformers
26,879
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_hubert_s449 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_hubert_s149
a204fe439526545b8f5187ff08bfe145bbee7ac6
2022-07-10T01:09:12.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_hubert_s149
2
null
transformers
26,880
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_hubert_s149 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-sv_s331
9e2b87d9450594da0fb5f6ecf5a19e0f7801c67e
2022-07-10T01:13:48.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-sv_s331
2
null
transformers
26,881
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-sv_s331 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-sv_s116
3790598e520a3446ff71db0bd0a0eedb83a2ae76
2022-07-10T01:16:43.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-sv_s116
2
null
transformers
26,882
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-sv_s116 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-sv_s363
6e08898b239ba2bba470d47e9e06af83e2ae1e13
2022-07-10T01:19:37.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-sv_s363
2
null
transformers
26,883
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-sv_s363 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_no-pretraining_s730
12f7fb558897f17232c149faee0492a1603d2e43
2022-07-10T01:23:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_no-pretraining_s730
2
null
transformers
26,884
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_no-pretraining_s730 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_no-pretraining_s805
d387b89b6a9b3725c9aaeaa2ad7087ddddf21cdf
2022-07-10T01:26:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_no-pretraining_s805
2
null
transformers
26,885
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_no-pretraining_s805 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_no-pretraining_s930
8d9f1dfd61677d37db19cf17a68374738f1e8935
2022-07-10T01:29:50.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_no-pretraining_s930
2
null
transformers
26,886
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_no-pretraining_s930 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_wavlm_s596
6802786d9ce5a661105a08d6febab24ff0402b5a
2022-07-10T01:33:18.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_wavlm_s596
2
null
transformers
26,887
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_wavlm_s596 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_wavlm_s368
b5e6cdd87f827943bf984da0594a3ab8c2f7b35d
2022-07-10T01:40:07.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_wavlm_s368
2
null
transformers
26,888
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_wavlm_s368 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_unispeech-ml_s515
eb707dae4b7f7ca4430e7f7563ee6d1141af5d5b
2022-07-10T01:43:19.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_unispeech-ml_s515
2
null
transformers
26,889
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_unispeech-ml_s515 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_unispeech-ml_s772
86377f3ba6c14432c9c57f186516244bdf363b0f
2022-07-10T01:46:45.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_unispeech-ml_s772
2
null
transformers
26,890
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_unispeech-ml_s772 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_unispeech-ml_s658
5e028aa9e735460edfa0d450a6c1a2066fa280d8
2022-07-10T01:49:54.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_unispeech-ml_s658
2
null
transformers
26,891
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_unispeech-ml_s658 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-fr_s818
32bf2b77e3f9a1606ca7a7861317b88dce8a1579
2022-07-10T01:52:46.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-fr_s818
2
null
transformers
26,892
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-fr_s818 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-fr_s451
68624fae0b5e34822bf4c57b4ce635208f40fcaa
2022-07-10T01:57:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-fr_s451
2
null
transformers
26,893
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-fr_s451 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-fr_s732
892897b11a76a6243210a296c3a5af60e2eb2bda
2022-07-10T02:00:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-fr_s732
2
null
transformers
26,894
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-fr_s732 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-es_s408
0e5d2a00490917bb6a0863d724f602b8494d3641
2022-07-10T02:04:12.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-es_s408
2
null
transformers
26,895
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-es_s408 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-es_s869
f8043f8d63a3be38b4b991f9550a66fddc1cee47
2022-07-10T02:07:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-es_s869
2
null
transformers
26,896
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-es_s869 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-es_s399
7d89207a41e9bde1bb6ae9a20deb76e108de9918
2022-07-10T02:10:24.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-es_s399
2
null
transformers
26,897
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-es_s399 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-nl_s418
0dbde76b6e7a879f14b600b342f26b607d1be2e0
2022-07-10T02:14:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-nl_s418
2
null
transformers
26,898
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-nl_s418 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that 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_zh-cn_vp-nl_s160
d430526ee80dc12c73247716b0777c22391d9fee
2022-07-10T02:17:34.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "zh-CN", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_zh-cn_vp-nl_s160
2
null
transformers
26,899
--- language: - zh-CN license: apache-2.0 tags: - automatic-speech-recognition - zh-CN datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_zh-cn_vp-nl_s160 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 (zh-CN)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.