Datasets:
davanstrien
/
pytorchmodelmetadata

Dataset card Data Studio Files
xet
Community
modelId
stringlengths
4
112
sha
stringlengths
40
40
lastModified
stringlengths
24
24
tags
sequence
pipeline_tag
stringclasses
29 values
private
bool
1 class
author
stringlengths
2
38
⌀
config
null
id
stringlengths
4
112
downloads
float64
0
36.8M
⌀
likes
float64
0
712
⌀
library_name
stringclasses
17 values
__index_level_0__
int64
0
38.5k
readme
stringlengths
0
186k
jonatasgrosman/exp_w2v2t_th_wav2vec2_s35
e7a1fad8c62209fba92d21247a72737181285690
2022-07-08T10:13:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_wav2vec2_s35
2
null
transformers
26,600
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_wav2vec2_s35 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-100k_s403
157670462d677ceff586aa85af3054f397a4e28a
2022-07-08T10:18:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-100k_s403
2
null
transformers
26,601
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-100k_s403 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-100k_s497
a7db8f92751e6f3cecfab77ea0590792c99455ce
2022-07-08T10:21:24.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-100k_s497
2
null
transformers
26,602
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-100k_s497 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-100k_s630
af0c65f52b0e06313c6a11d452dfe81d4ebce72a
2022-07-08T10:24:25.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-100k_s630
2
null
transformers
26,603
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-100k_s630 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_xlsr-53_s711
3814e128abb5eea96ab98d19068ec8e8cb0d39eb
2022-07-08T10:27:24.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_xlsr-53_s711
2
null
transformers
26,604
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_xlsr-53_s711 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_xlsr-53_s201
8783d4d8487d17929662067767a3ad1dd80b32dc
2022-07-08T10:31:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_xlsr-53_s201
2
null
transformers
26,605
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_xlsr-53_s201 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_xlsr-53_s218
b30a72b65ebf0a9de206ead877566c006686d68a
2022-07-08T10:35:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_xlsr-53_s218
2
null
transformers
26,606
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_xlsr-53_s218 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_unispeech_s328
011cd926d824a4c0ee055fd00b8da1abd15c9bf7
2022-07-08T10:39:17.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_unispeech_s328
2
null
transformers
26,607
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_unispeech_s328 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_unispeech_s624
8401e185d7199a7a37e017d46aad257cf0a2ba95
2022-07-08T10:42:36.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_unispeech_s624
2
null
transformers
26,608
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_unispeech_s624 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_hubert_s975
72f21e75a81b6b04d1ddffef87fbe89e515ab429
2022-07-08T10:48:48.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_hubert_s975
2
null
transformers
26,609
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_hubert_s975 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_hubert_s533
ec410a4487d52afc6a9e3856e8ce1da160cde99c
2022-07-08T10:52:20.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_hubert_s533
2
null
transformers
26,610
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_hubert_s533 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_hubert_s817
642822ebcc31ef32b210cf746dece32b916fd1b0
2022-07-08T10:55:18.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_hubert_s817
2
null
transformers
26,611
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_hubert_s817 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-sv_s946
61df3f6d695dbbf1b48815c2e9ec68f0c3192df0
2022-07-08T10:58:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-sv_s946
2
null
transformers
26,612
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-sv_s946 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-sv_s635
c8d2b0b68d7f80e8f697f342c2315c8bb4cceed2
2022-07-08T11:01:14.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-sv_s635
2
null
transformers
26,613
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-sv_s635 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-sv_s884
783a8e4d8e537f614b64b16ef9026e386ab92aec
2022-07-08T11:04:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-sv_s884
2
null
transformers
26,614
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-sv_s884 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_no-pretraining_s950
212730a8001faa810a6ba44e75d0dc11aa238275
2022-07-08T11:07:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_no-pretraining_s950
2
null
transformers
26,615
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_no-pretraining_s950 Fine-tuned randomly initialized wav2vec2 model for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_no-pretraining_s414
e0ac651a3a3d1c70d878f8682f8860cf804ecf0c
2022-07-08T11:10:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_no-pretraining_s414
2
null
transformers
26,616
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_no-pretraining_s414 Fine-tuned randomly initialized wav2vec2 model for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_no-pretraining_s156
2bca2b10634e1920b8fa7b2c6c7f9aa8ff05dd7a
2022-07-08T11:13:51.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_no-pretraining_s156
2
null
transformers
26,617
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_no-pretraining_s156 Fine-tuned randomly initialized wav2vec2 model for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_wavlm_s108
b18bfb1ac6b4f5d98756937dc6676d7f04ca1e3e
2022-07-08T11:17:13.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_wavlm_s108
2
null
transformers
26,618
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_wavlm_s108 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_wavlm_s847
77b4bcd5703c4ca674a73a038016883c8d3a3ab0
2022-07-08T11:21:22.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_wavlm_s847
2
null
transformers
26,619
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_wavlm_s847 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_wavlm_s904
f3ea6181e106422ba9765dd763d1a3700ea8fe49
2022-07-08T11:25:12.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_wavlm_s904
2
null
transformers
26,620
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_wavlm_s904 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_unispeech-ml_s640
15152512e88fc28db469cc257000b88eff04e93b
2022-07-08T11:31:13.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_unispeech-ml_s640
2
null
transformers
26,621
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_unispeech-ml_s640 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_unispeech-ml_s351
d90ada7ec1eecf0ce6d9c33858bb6ca3a9e5e8c4
2022-07-08T11:34:20.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_unispeech-ml_s351
2
null
transformers
26,622
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_unispeech-ml_s351 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-fr_s761
b36c5bdfa1e2f872c2307e34f0994ca455188df3
2022-07-08T11:37:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-fr_s761
2
null
transformers
26,623
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-fr_s761 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-fr_s77
b85eac7f7cc5a11a869e6f8735c446a4edbfd87a
2022-07-08T11:40:30.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-fr_s77
2
null
transformers
26,624
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-fr_s77 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-fr_s22
c9f7f19e34ff167de4c814bdb93e4a1da3b61eb4
2022-07-08T11:43:50.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-fr_s22
2
null
transformers
26,625
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-fr_s22 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition on Thai using the train split of [Common Voice 7.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-es_s26
64da6982930831be9fcc376758c6cf6497a48e12
2022-07-08T13:44:23.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-es_s26
2
null
transformers
26,626
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-es_s26 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
elasticdotventures/bert-base-cased-wikitext2
9e06dd802258c4c64c4f2210b72a57dddb03a929
2022-07-08T14:08:14.000Z
[ "pytorch", "tensorboard", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
false
elasticdotventures
null
elasticdotventures/bert-base-cased-wikitext2
2
null
transformers
26,627
Entry not found
jonatasgrosman/exp_w2v2t_th_vp-es_s51
9bb93f62ec2bce90b20a3813a74accd85390c74c
2022-07-08T14:10:34.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-es_s51
2
null
transformers
26,628
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-es_s51 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-es_s552
6f4da9ac3fd88b9b3f28dfdf78fdbce09368f8e7
2022-07-08T14:35:44.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-es_s552
2
null
transformers
26,629
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-es_s552 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-nl_s569
cab56a3367a810a192b6c0d28b14956bedbc4cc6
2022-07-08T14:45:16.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-nl_s569
2
null
transformers
26,630
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-nl_s569 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-nl_s253
807eccdb01d316929848aea5ce0c1e5e201284b2
2022-07-08T14:49:35.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-nl_s253
2
null
transformers
26,631
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-nl_s253 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-nl_s947
19f8a8015a9700e65e011926a4636ca9692f9ddf
2022-07-08T14:53:03.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-nl_s947
2
null
transformers
26,632
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-nl_s947 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_unispeech-sat_s658
eb687e558c7175f01d0713288b8a51e4eecc6028
2022-07-08T14:57:17.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_unispeech-sat_s658
2
null
transformers
26,633
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_unispeech-sat_s515
ed6b08ec0db627d4866549c8c52d7e6ad520c255
2022-07-08T15:01:10.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_unispeech-sat_s515
2
null
transformers
26,634
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_xls-r_s625
2467d35f23722c5e250bfd53a38d35e0a3f15251
2022-07-08T15:07:51.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_xls-r_s625
2
null
transformers
26,635
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_xls-r_s625 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_xls-r_s879
0266377bf9abe6d23c457bbbeb8a1c2e90cd47c8
2022-07-08T15:11:46.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_xls-r_s879
2
null
transformers
26,636
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_xls-r_s879 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_xls-r_s590
1c298ae7b21df2905efe18ca80241cf43f28ce76
2022-07-08T15:14:52.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_xls-r_s590
2
null
transformers
26,637
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_xls-r_s590 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_r-wav2vec2_s805
50fd03b0b07e494c0ca2f0608ad4b410bfab6893
2022-07-08T15:18:14.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_r-wav2vec2_s805
2
null
transformers
26,638
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_r-wav2vec2_s805 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_r-wav2vec2_s930
8450130392fff96e6c2ec581e93046f622b74763
2022-07-08T15:22:10.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_r-wav2vec2_s930
2
null
transformers
26,639
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_r-wav2vec2_s930 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_r-wav2vec2_s730
9f613d764305b24a4215fba03d1a8152d86cd83e
2022-07-08T15:25:13.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_r-wav2vec2_s730
2
null
transformers
26,640
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_r-wav2vec2_s730 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-it_s259
a54b4d20b67ea58fda658ad3d21f292748acbf02
2022-07-08T15:28:35.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-it_s259
2
null
transformers
26,641
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-it_s259 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-it_s819
1684a6ee98621e2e94b0b4f819c5c7cda9d34551
2022-07-08T15:31:43.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-it_s819
2
null
transformers
26,642
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-it_s819 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_th_vp-it_s334
0301ba7b0dfe9d3e08c2f389b527a901f7e41853
2022-07-08T15:41:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "th", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_th_vp-it_s334
2
null
transformers
26,643
--- language: - th license: apache-2.0 tags: - automatic-speech-recognition - th datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_th_vp-it_s334 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 (th)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_wav2vec2_s834
61f41a7a63ccf040b7e5acfda628c7167c7ec7eb
2022-07-08T15:46:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_wav2vec2_s834
2
null
transformers
26,644
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_wav2vec2_s834 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
ghadeermobasher/Modified-bluebert_pubmed_uncased_L-12_H-768_A-12-BioRED-Chem-512-5-30
ed1f38720ec80788f056408226c0423471e42121
2022-07-11T09:11:09.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/Modified-bluebert_pubmed_uncased_L-12_H-768_A-12-BioRED-Chem-512-5-30
2
null
transformers
26,645
ghadeermobasher/Original-bluebert_pubmed_uncased_L-12_H-768_A-12-BioRED-Chem-512-5-30
e74d9b82fbc0b393c0b24a9d2ae8b1bbd3434567
2022-07-11T09:10:11.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/Original-bluebert_pubmed_uncased_L-12_H-768_A-12-BioRED-Chem-512-5-30
2
null
transformers
26,646
jonatasgrosman/exp_w2v2t_ja_wav2vec2_s895
e0acc5cf95bacd00ff2c4aea7994815df923d372
2022-07-08T15:49:30.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_wav2vec2_s895
2
null
transformers
26,647
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_wav2vec2_s895 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_wav2vec2_s727
f98ce37c57be2f2148c02f253808e47aa4127187
2022-07-08T15:53:02.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_wav2vec2_s727
2
null
transformers
26,648
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_wav2vec2_s727 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-100k_s412
750d5e164e6389d2b925b5254e482610dfb913cc
2022-07-08T15:56:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-100k_s412
2
null
transformers
26,649
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-100k_s412 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
ghadeermobasher/Modified-BiomedNLP-PubMedBERT-base-uncased-abstract-BioRED-Chem-512-5-30
805e2dacba586e3425413dda159a5dd6bc262e0e
2022-07-11T09:08:34.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/Modified-BiomedNLP-PubMedBERT-base-uncased-abstract-BioRED-Chem-512-5-30
2
null
transformers
26,650
ghadeermobasher/Original-BiomedNLP-PubMedBERT-base-uncased-abstract-BioRED-Chem-512-5-30
c42bfa9dcc88f7d2e208d2f05bee010103ba8439
2022-07-11T09:05:35.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/Original-BiomedNLP-PubMedBERT-base-uncased-abstract-BioRED-Chem-512-5-30
2
null
transformers
26,651
jonatasgrosman/exp_w2v2t_ja_vp-100k_s219
9eb5ad242c65cb2a2d1d4c0f721625b208439fdb
2022-07-08T15:59:33.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-100k_s219
2
null
transformers
26,652
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-100k_s219 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-100k_s255
20c6a92d6e6ecd51cc18752228e296e184b64659
2022-07-08T16:02:37.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-100k_s255
2
null
transformers
26,653
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-100k_s255 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_xlsr-53_s109
ecaa0231416b3acff2b62f788fbebad5f685af93
2022-07-08T16:05:43.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_xlsr-53_s109
2
null
transformers
26,654
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_xlsr-53_s109 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_xlsr-53_s781
6da157fee51aa5088c5a23b1988b0e86feeebacf
2022-07-08T16:08:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_xlsr-53_s781
2
null
transformers
26,655
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_xlsr-53_s781 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_xlsr-53_s705
7607445c2695253f968a6f91bcd038f6a04f73f4
2022-07-08T16:11:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_xlsr-53_s705
2
null
transformers
26,656
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_xlsr-53_s705 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_unispeech_s569
cb297a5233e070e6a171c72576ea196708eca1e5
2022-07-08T16:14:48.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_unispeech_s569
2
null
transformers
26,657
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_unispeech_s569 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_unispeech_s253
210887f251d87c80cba387f5932a74280247f6a3
2022-07-08T16:18:02.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_unispeech_s253
2
null
transformers
26,658
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_unispeech_s253 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_unispeech_s947
e9513236e88b1aa83b6783fc9422c8aaab26cbfe
2022-07-08T16:21:33.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_unispeech_s947
2
null
transformers
26,659
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_unispeech_s947 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_hubert_s732
77cd13e7f1c976c30015bb80d19eafd2a38b882f
2022-07-08T16:24:39.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_hubert_s732
2
null
transformers
26,660
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_hubert_s732 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_hubert_s69
4c709ea83d10f931945c6006cbf4e97caf49f9e7
2022-07-08T16:27:39.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_hubert_s69
2
null
transformers
26,661
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_hubert_s69 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_hubert_s334
4d4e05a8455ef9d42efda67f480b10d5219cb5a1
2022-07-08T16:31:52.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_hubert_s334
2
null
transformers
26,662
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_hubert_s334 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-sv_s322
cce0162476748a378a738806acfde2e701ade78d
2022-07-08T16:36:35.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-sv_s322
2
null
transformers
26,663
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-sv_s322 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-sv_s26
df6bd131fbf904530f666651235e7ed18d4b5993
2022-07-08T16:40:01.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-sv_s26
2
null
transformers
26,664
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-sv_s26 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-sv_s570
c404290a2b88eeb39efaa95bde1a8eaf74d38fc9
2022-07-08T16:43:15.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-sv_s570
2
null
transformers
26,665
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-sv_s570 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_no-pretraining_s830
01c2557eb19e672dc33cd5aa48e91aec094e386e
2022-07-08T16:46:12.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_no-pretraining_s830
2
null
transformers
26,666
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_no-pretraining_s830 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_no-pretraining_s692
1cb45553ed8ed788044bcfe035d213e974b731c4
2022-07-08T16:49:34.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_no-pretraining_s692
2
null
transformers
26,667
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_no-pretraining_s692 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_no-pretraining_s143
313db7d007eeec9de8551bf03c5bdd1af4a060c1
2022-07-08T16:53:11.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_no-pretraining_s143
2
null
transformers
26,668
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_no-pretraining_s143 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_wavlm_s35
9f96b3cfeda0777197603cb50b9fec60c1d25f36
2022-07-08T16:59:51.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_wavlm_s35
2
null
transformers
26,669
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_wavlm_s35 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_wavlm_s664
9093b5ee4d0a7a25fb4c16459a2e08002f50860f
2022-07-08T17:03:01.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_wavlm_s664
2
null
transformers
26,670
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_wavlm_s664 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s886
ff559edc260bd9e2e7c60773bc18a1ac15274c9a
2022-07-08T17:06:46.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s886
2
null
transformers
26,671
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_unispeech-ml_s886 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s295
e623d60a57f9de43ffaf940b104726d8bab5294f
2022-07-08T17:10:19.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s295
2
null
transformers
26,672
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_unispeech-ml_s295 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728
812cbea082fbbe50685f3c7368410436aa0799e8
2022-07-08T17:14:38.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728
2
null
transformers
26,673
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_unispeech-ml_s728 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-fr_s368
4af96a93c83277b558b8edd055cdf8b11b9c16a6
2022-07-08T17:18:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-fr_s368
2
null
transformers
26,674
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-fr_s368 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-fr_s458
61f5f1649dcbf529c43e73600c374770483bf041
2022-07-08T17:22:44.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-fr_s458
2
null
transformers
26,675
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-fr_s458 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-fr_s543
d353430cd76b741408c2c9ced6ed7f0263f42058
2022-07-08T17:26:45.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-fr_s543
2
null
transformers
26,676
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-fr_s543 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-es_s381
9d34a489a39d945f32d6874db5d2cf0d913fe078
2022-07-08T17:29:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-es_s381
2
null
transformers
26,677
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-es_s381 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-es_s673
fc6cbd9a5b220697094ee22329627a0d7ebc3222
2022-07-08T17:33:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-es_s673
2
null
transformers
26,678
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-es_s673 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-es_s350
1de4bf38f392da5812d6ba308da46cb70e07a5a4
2022-07-08T17:37:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-es_s350
2
null
transformers
26,679
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-es_s350 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-nl_s682
bcea332250986846ac8033e99c6a68f9c065e5a9
2022-07-08T17:41:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-nl_s682
2
null
transformers
26,680
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-nl_s682 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-nl_s287
92232c6581a878fb6b9d57db553620cc47f0a51b
2022-07-08T17:44:15.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-nl_s287
2
null
transformers
26,681
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-nl_s287 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-nl_s770
2c7bbcf10c41c6003b596305c5660d4234b27304
2022-07-08T17:48:07.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-nl_s770
2
null
transformers
26,682
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-nl_s770 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_unispeech-sat_s884
35278c55d6fc877e3f0ed4757be442fb564aad11
2022-07-08T17:51:35.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_unispeech-sat_s884
2
null
transformers
26,683
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_unispeech-sat_s884 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_unispeech-sat_s946
ed8a8f5c489c2f2722e095c0e8aa4c758422d8e2
2022-07-08T17:54:48.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_unispeech-sat_s946
2
null
transformers
26,684
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_unispeech-sat_s946 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_unispeech-sat_s635
c626fd7895e8eb14a0f5ee40c41f5992025fac6e
2022-07-08T17:58:13.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_unispeech-sat_s635
2
null
transformers
26,685
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_unispeech-sat_s635 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_xls-r_s452
3c8ef2c4aced4b94fe9517661ec6a00b20e0be84
2022-07-08T18:02:07.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_xls-r_s452
2
null
transformers
26,686
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_xls-r_s452 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_xls-r_s42
25efcd9486d81f140edd42777634dc4bdc760a2e
2022-07-08T18:06:10.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_xls-r_s42
2
null
transformers
26,687
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_xls-r_s42 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_xls-r_s941
ccc353234d3b6f8da3fbd04cf704d6cb0c2758d1
2022-07-08T18:09:11.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_xls-r_s941
2
null
transformers
26,688
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_xls-r_s941 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_r-wav2vec2_s911
d4b21a8a0c58e56eaec1ef4b18a1a6fd3b1ba387
2022-07-08T18:12:55.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_r-wav2vec2_s911
2
null
transformers
26,689
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_r-wav2vec2_s911 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_r-wav2vec2_s201
1dbde07c4e32cf986ea00e8d3701207807853a9f
2022-07-08T18:16:03.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_r-wav2vec2_s201
2
null
transformers
26,690
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_r-wav2vec2_s201 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_r-wav2vec2_s303
ade25cd4934039012822953c85f7f076a6819f2e
2022-07-08T18:20:50.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_r-wav2vec2_s303
2
null
transformers
26,691
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_r-wav2vec2_s303 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-it_s73
20ce5d87e6ccb7717b795832ad72bb48b226c6f7
2022-07-08T18:24:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-it_s73
2
null
transformers
26,692
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-it_s73 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_ja_vp-it_s544
21704d1b24ecdde1b254eabb3e97ad3ebdf0e9c8
2022-07-08T18:29:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-it_s544
2
null
transformers
26,693
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-it_s544 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
kinanmartin/distilbert-base-uncased-finetuned-ner
21b8d3033c25578eb8de581edc39b380b10f9909
2022-07-08T18:50:09.000Z
[ "pytorch", "tensorboard", "distilbert", "token-classification", "dataset:toydata", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
kinanmartin
null
kinanmartin/distilbert-base-uncased-finetuned-ner
2
null
transformers
26,694
--- license: apache-2.0 tags: - generated_from_trainer datasets: - toydata metrics: - precision - recall - f1 - accuracy model-index: - name: distilbert-base-uncased-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: toydata type: toydata args: SDN metrics: - name: Precision type: precision value: 0.8373323601861145 - name: Recall type: recall value: 0.8721847381925306 - name: F1 type: f1 value: 0.8544032768571961 - name: Accuracy type: accuracy value: 0.9640425437230208 --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # distilbert-base-uncased-finetuned-ner This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the toydata dataset. It achieves the following results on the evaluation set: - Loss: 0.1233 - Precision: 0.8373 - Recall: 0.8722 - F1: 0.8544 - Accuracy: 0.9640 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | No log | 1.0 | 408 | 0.1435 | 0.7577 | 0.8557 | 0.8038 | 0.9526 | | 0.1984 | 2.0 | 816 | 0.1246 | 0.8192 | 0.8747 | 0.8460 | 0.9620 | | 0.0996 | 3.0 | 1224 | 0.1233 | 0.8373 | 0.8722 | 0.8544 | 0.9640 | ### Framework versions - Transformers 4.20.1 - Pytorch 1.11.0+cu113 - Datasets 2.3.2 - Tokenizers 0.12.1
jonatasgrosman/exp_w2v2t_ja_vp-it_s621
1ecbdd4901ecadf6b6e1877592fef719ffe2cfec
2022-07-08T18:34:01.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_ja_vp-it_s621
2
null
transformers
26,695
--- language: - ja license: apache-2.0 tags: - automatic-speech-recognition - ja datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_ja_vp-it_s621 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 (ja)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_it_wav2vec2_s692
80fb158afbede70aa89f7c1285637936230bebe5
2022-07-08T18:40:27.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "it", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_it_wav2vec2_s692
2
null
transformers
26,696
--- language: - it license: apache-2.0 tags: - automatic-speech-recognition - it datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_it_wav2vec2_s692 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 (it)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_it_wav2vec2_s211
69f830ca51861a6568846282c762e76911cded19
2022-07-08T18:47:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "it", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_it_wav2vec2_s211
2
null
transformers
26,697
--- language: - it license: apache-2.0 tags: - automatic-speech-recognition - it datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_it_wav2vec2_s211 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 (it)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_it_wav2vec2_s609
208a43cdc2f4d984fe95b8c4d65f8bc8bc1ea8f6
2022-07-08T18:51:34.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "it", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_it_wav2vec2_s609
2
null
transformers
26,698
--- language: - it license: apache-2.0 tags: - automatic-speech-recognition - it datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_it_wav2vec2_s609 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 (it)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_it_vp-100k_s149
e5e2e2492fabe3db88a20d21d4f43e691cf0a7b2
2022-07-08T18:56:07.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "it", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_it_vp-100k_s149
2
null
transformers
26,699
--- language: - it license: apache-2.0 tags: - automatic-speech-recognition - it datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_it_vp-100k_s149 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (it)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.