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ShooterRon/pegasus-xsum_summarization | cd8db25be51c17c165693e1d55ea45a2507ae157 | 2022-07-10T12:55:40.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | ShooterRon | null | ShooterRon/pegasus-xsum_summarization | 2 | null | transformers | 27,000 | ---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-xsum_summarization
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pegasus-xsum_summarization
This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7876
- Rouge1: 25.7148
- Rouge2: 10.9685
- Rougel: 21.6394
- Rougelsum: 22.3122
## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.633 | 1.0 | 50 | 1.8839 | 24.9703 | 9.6517 | 19.9759 | 21.088 |
| 1.3917 | 2.0 | 100 | 1.8565 | 24.4395 | 9.1755 | 19.5702 | 20.5489 |
| 1.2576 | 3.0 | 150 | 1.8361 | 24.8266 | 10.2009 | 20.074 | 21.382 |
| 1.1191 | 4.0 | 200 | 1.8226 | 25.9635 | 11.7704 | 21.7787 | 22.365 |
| 1.1138 | 5.0 | 250 | 1.8239 | 26.7874 | 12.2832 | 22.7792 | 23.4501 |
| 1.0338 | 6.0 | 300 | 1.8094 | 26.3543 | 12.0501 | 22.3172 | 23.1194 |
| 1.0084 | 7.0 | 350 | 1.7923 | 25.5686 | 11.0213 | 21.5288 | 21.8892 |
| 1.0098 | 8.0 | 400 | 1.7876 | 25.7148 | 10.9685 | 21.6394 | 22.3122 |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1
|
jonatasgrosman/exp_w2v2t_de_xls-r_s438 | e20fb06d6607591cc10f05655e149974d4eadc21 | 2022-07-10T12:16:53.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_de_xls-r_s438 | 2 | null | transformers | 27,001 | ---
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- de
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_de_xls-r_s438
Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_de_r-wav2vec2_s460 | 6f74ca1d6f7495c2cc2c320a255bf48bc1302380 | 2022-07-10T12:19:59.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_de_r-wav2vec2_s460 | 2 | null | transformers | 27,002 | ---
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- de
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_de_r-wav2vec2_s460
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 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_de_r-wav2vec2_s37 | ca189d6ddf3370d2e26425006d003e828ea6130d | 2022-07-10T12:23:50.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_de_r-wav2vec2_s37 | 2 | null | transformers | 27,003 | ---
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- de
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_de_r-wav2vec2_s37
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 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_de_r-wav2vec2_s466 | 87ee9f7de91b1a431a9b1227f0d4670c3ce1c084 | 2022-07-10T12:28:19.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_de_r-wav2vec2_s466 | 2 | null | transformers | 27,004 | ---
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- de
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_de_r-wav2vec2_s466
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 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_de_vp-it_s184 | 830e489fdd25cdb4befce74a1bd88a62f3b2d749 | 2022-07-10T12:31:48.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_de_vp-it_s184 | 2 | null | transformers | 27,005 | ---
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- de
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_de_vp-it_s184
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 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_de_vp-it_s946 | dd83576436fbe0ca7e9a0475d873312623360cd3 | 2022-07-10T12:42:12.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_de_vp-it_s946 | 2 | null | transformers | 27,006 | ---
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- de
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_de_vp-it_s946
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 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_de_vp-it_s962 | d70fdc5aee8988fac68e6c417661f224141df622 | 2022-07-10T12:46:24.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_de_vp-it_s962 | 2 | null | transformers | 27,007 | ---
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- de
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_de_vp-it_s962
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 (de)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_wav2vec2_s578 | d029def9fc88784af8277a5bc814b5d9a3322b13 | 2022-07-10T12:49:32.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_wav2vec2_s578 | 2 | null | transformers | 27,008 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_wav2vec2_s578
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_wav2vec2_s646 | 501c686b1ae6fc960943c8682ca2b021481574ee | 2022-07-10T12:53:07.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_wav2vec2_s646 | 2 | null | transformers | 27,009 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_wav2vec2_s646
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_wav2vec2_s317 | 8a1845475efc38e7d5a3489b7f4d7b4c23794c0c | 2022-07-10T12:56:58.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_wav2vec2_s317 | 2 | null | transformers | 27,010 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_wav2vec2_s317
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-100k_s791 | a1eaf5e03cb4b221f3b003bf0fdb7b7447573dc3 | 2022-07-10T13:07:14.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-100k_s791 | 2 | null | transformers | 27,011 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-100k_s791
Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-100k_s149 | c3e7f5e2514c7cfdf48001a71a510d97923e65fd | 2022-07-10T13:10:05.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-100k_s149 | 2 | null | transformers | 27,012 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-100k_s1 | a0bec00eabe746c306e208ad44fbc58abe10a463 | 2022-07-10T13:13:07.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-100k_s1 | 2 | null | transformers | 27,013 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-100k_s1
Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_xlsr-53_s411 | 8d099fadcc895aeef68b42973234a8ba395f59c7 | 2022-07-10T13:16:00.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_xlsr-53_s411 | 2 | null | transformers | 27,014 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_xlsr-53_s411
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_xlsr-53_s965 | 454ff7b2a087a79b39b38c9598d05ec976c66808 | 2022-07-10T13:18:51.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_xlsr-53_s965 | 2 | null | transformers | 27,015 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_xlsr-53_s965
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_xlsr-53_s324 | 4875d0b1f995005e183ba5598857e3e8f23d34f6 | 2022-07-10T13:21:50.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_xlsr-53_s324 | 2 | null | transformers | 27,016 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_xlsr-53_s324
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_unispeech_s558 | b94be2438bcd594ce75deef580e3be00baa3ad8f | 2022-07-10T13:24:48.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_unispeech_s558 | 2 | null | transformers | 27,017 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_unispeech_s558
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_unispeech_s244 | 7da4a74f3dc5cabaa8a9feaaa1a1d679692a72e6 | 2022-07-10T13:27:38.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_unispeech_s244 | 2 | null | transformers | 27,018 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_unispeech_s244
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_unispeech_s607 | a040e7b6ed693253e60895e899f78311bda434ab | 2022-07-10T13:30:53.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_unispeech_s607 | 2 | null | transformers | 27,019 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_unispeech_s607
Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_hubert_s33 | 569295659c129782cf293f32f8fffd22a933c876 | 2022-07-10T13:34:02.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_hubert_s33 | 2 | null | transformers | 27,020 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_hubert_s33
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_hubert_s496 | 7d51bb4af96a1beca6e4e2bc1019eb8c56b2c2af | 2022-07-10T13:37:03.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_hubert_s496 | 2 | null | transformers | 27,021 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_hubert_s496
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_hubert_s878 | 28ffa896198813a94e2d7542aa005934839a64e9 | 2022-07-10T13:39:58.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_hubert_s878 | 2 | null | transformers | 27,022 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_hubert_s878
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-sv_s911 | 88a51f5e84d53f3a0c0db55d0e51decb824460e2 | 2022-07-10T13:43:28.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-sv_s911 | 2 | null | transformers | 27,023 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-sv_s911
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-sv_s500 | 32d418e3641b4d9d0ac67d154877ee451299f1e2 | 2022-07-10T13:46:50.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-sv_s500 | 2 | null | transformers | 27,024 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-sv_s500
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-sv_s428 | 3151007fc83c5544b88d2aa97e5482d21a8d5cf2 | 2022-07-10T13:50:05.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-sv_s428 | 2 | null | transformers | 27,025 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-sv_s428
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_no-pretraining_s947 | 0cf19115332858e65e3df31338cce3187ba646c4 | 2022-07-10T13:54:09.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_no-pretraining_s947 | 2 | null | transformers | 27,026 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_no-pretraining_s947
Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_no-pretraining_s159 | 994a75175f694134e32c8976d5ab0423730f4d70 | 2022-07-10T13:57:31.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_no-pretraining_s159 | 2 | null | transformers | 27,027 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_no-pretraining_s159
Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_no-pretraining_s467 | aa9828b39a59bb1673ad90187119876dab5092f2 | 2022-07-10T14:00:49.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_no-pretraining_s467 | 2 | null | transformers | 27,028 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_no-pretraining_s467
Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_wavlm_s722 | ea157ca2b4465ccc16c5010db25d15a8cf2abbf7 | 2022-07-10T14:04:18.000Z | [
"pytorch",
"wavlm",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_wavlm_s722 | 2 | null | transformers | 27,029 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_wavlm_s722
Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_wavlm_s474 | 426e79e614fc9642fd33e404bf2d37506895a6f4 | 2022-07-10T14:07:30.000Z | [
"pytorch",
"wavlm",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_wavlm_s474 | 2 | null | transformers | 27,030 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_wavlm_s474
Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_wavlm_s21 | 27bba6d24dc3fff2affb2dce8cce4a273443891e | 2022-07-10T14:10:30.000Z | [
"pytorch",
"wavlm",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_wavlm_s21 | 2 | null | transformers | 27,031 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_wavlm_s21
Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_unispeech-ml_s417 | 00ca45dcb5037b029c8b581e25d6eec5448a3a45 | 2022-07-10T14:13:38.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_unispeech-ml_s417 | 2 | null | transformers | 27,032 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_unispeech-ml_s417
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_unispeech-ml_s156 | 17d833c7f5d0d5856b3e6634b27b04bcb11bbbd8 | 2022-07-10T14:16:33.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_unispeech-ml_s156 | 2 | null | transformers | 27,033 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_unispeech-ml_s156
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_unispeech-ml_s226 | 057f848ad12f44fbca23807b677a2b6c89bf1c17 | 2022-07-10T14:19:36.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_unispeech-ml_s226 | 2 | null | transformers | 27,034 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_unispeech-ml_s226
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-fr_s3 | 2a9ba51c5f42949466f5073580e6edbfde1327ff | 2022-07-10T14:22:46.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-fr_s3 | 2 | null | transformers | 27,035 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-fr_s3
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-fr_s473 | 222dcfc98d3cd95a2f42b7ec13f09a7e99302d54 | 2022-07-10T14:26:14.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-fr_s473 | 2 | null | transformers | 27,036 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-fr_s473
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-fr_s255 | 91e5cb96718f3e4c107fff5e4144b39afdc3c3cc | 2022-07-10T14:29:35.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-fr_s255 | 2 | null | transformers | 27,037 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-fr_s255
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-es_s211 | 445701bab944a08ab08647722514a195567ef6b1 | 2022-07-10T14:32:39.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-es_s211 | 2 | null | transformers | 27,038 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-es_s211
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-es_s609 | 922defdcd50c770929325a4e2135479f7643b2f7 | 2022-07-10T14:35:58.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-es_s609 | 2 | null | transformers | 27,039 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-es_s609
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-nl_s934 | 8c0fba65a49a84e2cafd7cfe65e20b3ce499d72a | 2022-07-10T14:42:05.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-nl_s934 | 2 | null | transformers | 27,040 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-nl_s934
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
yam1ke/test3 | a1c66b49267c6b6311d0234210c0665ac3d9e6b0 | 2022-07-10T16:24:59.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | yam1ke | null | yam1ke/test3 | 2 | null | transformers | 27,041 | Entry not found |
jonatasgrosman/exp_w2v2t_uk_vp-nl_s469 | e12b6b4c559f293711430c5567ab2ae2a680b87a | 2022-07-10T14:45:36.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-nl_s469 | 2 | null | transformers | 27,042 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-nl_s469
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-nl_s400 | 48abd4a6ab3defe03c4ff1b7b45aaee3c09ae74c | 2022-07-10T14:49:40.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-nl_s400 | 2 | null | transformers | 27,043 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-nl_s400
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_unispeech-sat_s222 | 3a0f7e1c6a44e8109bb384bbb93890ea42d9579f | 2022-07-10T14:52:38.000Z | [
"pytorch",
"unispeech-sat",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_unispeech-sat_s222 | 2 | null | transformers | 27,044 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_unispeech-sat_s222
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_unispeech-sat_s27 | 5dc03f1c7a2889da1e2e819f1980ad6e9508bf6f | 2022-07-10T14:56:11.000Z | [
"pytorch",
"unispeech-sat",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_unispeech-sat_s27 | 2 | null | transformers | 27,045 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_unispeech-sat_s27
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_unispeech-sat_s335 | 43372fb91790fb87b0799c27e4443892798064a0 | 2022-07-10T14:59:02.000Z | [
"pytorch",
"unispeech-sat",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_unispeech-sat_s335 | 2 | null | transformers | 27,046 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_unispeech-sat_s335
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_xls-r_s784 | bde8419cc08caaba7c1318a886602be7c4e5de61 | 2022-07-10T15:02:05.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_xls-r_s784 | 2 | null | transformers | 27,047 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_xls-r_s784
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_xls-r_s246 | a7620a774ab258de4009a820fcf76f08ae47cb38 | 2022-07-10T15:05:00.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_xls-r_s246 | 2 | null | transformers | 27,048 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_xls-r_s246
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_xls-r_s213 | cdc22fa9f064bd6ef16c25b95f977e63a0785f48 | 2022-07-10T15:08:00.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_xls-r_s213 | 2 | null | transformers | 27,049 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_xls-r_s213
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_r-wav2vec2_s156 | ff64eef49d32418250f48e3c0a5f6fd16e3a8ae8 | 2022-07-10T15:11:20.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_r-wav2vec2_s156 | 2 | null | transformers | 27,050 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_r-wav2vec2_s156
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_r-wav2vec2_s626 | 102eafbff642894eda6925ea0a961c9911a904e2 | 2022-07-10T15:14:40.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_r-wav2vec2_s626 | 2 | null | transformers | 27,051 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_r-wav2vec2_s626
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_r-wav2vec2_s714 | 847942d0f36cfa21566cffd2d0bd04cb2044cadd | 2022-07-10T15:18:04.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_r-wav2vec2_s714 | 2 | null | transformers | 27,052 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_r-wav2vec2_s714
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-it_s579 | d9352f4119fb63102f6f1d11df20c39ba137e3c2 | 2022-07-10T15:21:00.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-it_s579 | 2 | null | transformers | 27,053 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-it_s579
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-it_s557 | 266d71edd9a6bbafdb3196a47cc83bab736b870d | 2022-07-10T15:23:53.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-it_s557 | 2 | null | transformers | 27,054 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-it_s557
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_uk_vp-it_s821 | 7f2eca1e726cc5178261e781030fd99c71502545 | 2022-07-10T15:26:51.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_uk_vp-it_s821 | 2 | null | transformers | 27,055 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- uk
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_uk_vp-it_s821
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 (uk)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_wav2vec2_s364 | ca1bbbba26929b6486165a75f31aeafce499d685 | 2022-07-10T15:30:16.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_wav2vec2_s364 | 2 | null | transformers | 27,056 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_wav2vec2_s364
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_wav2vec2_s108 | 753b6399bae188d20088003f7e14f53d9d96c207 | 2022-07-10T15:36:24.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_wav2vec2_s108 | 2 | null | transformers | 27,057 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_wav2vec2_s108
Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_wav2vec2_s211 | 7fd8279811ba1903897f0eec8d5495efbb4c3d97 | 2022-07-10T15:44:39.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_wav2vec2_s211 | 2 | null | transformers | 27,058 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-100k_s874 | e569f2923d26ab5486d7ee5ac8a885b809c09ed4 | 2022-07-10T15:47:45.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-100k_s874 | 2 | null | transformers | 27,059 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-100k_s874
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-100k_s129 | 27863abafab52ed28c303a99bcaca5966d107008 | 2022-07-10T15:51:00.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-100k_s129 | 2 | null | transformers | 27,060 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-100k_s129
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-100k_s564 | 74b6e7313f022842457b7f4393b28b82c33319e9 | 2022-07-10T15:53:59.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-100k_s564 | 2 | null | transformers | 27,061 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-100k_s564
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_xlsr-53_s286 | 893073cc7f5c6d43ea9ad15a96a73df9ecb19fc7 | 2022-07-10T15:57:21.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_xlsr-53_s286 | 2 | null | transformers | 27,062 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_xlsr-53_s286
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_xlsr-53_s34 | bb16e39a1fbd804ddf22f5704468fee7ddd2989b | 2022-07-10T16:00:21.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_xlsr-53_s34 | 2 | null | transformers | 27,063 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_xlsr-53_s34
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_xlsr-53_s841 | 2481eefb74e7bebc062005c61f6db83779d37467 | 2022-07-10T16:04:22.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_xlsr-53_s841 | 2 | null | transformers | 27,064 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_xlsr-53_s841
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_unispeech_s574 | 1ef63abd4dead712d98fafe6702963d1f81de3d9 | 2022-07-10T16:07:15.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_unispeech_s574 | 2 | null | transformers | 27,065 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_unispeech_s574
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_unispeech_s112 | 50d21dfeb4cd54b91cf46674fad3bb834c08cb28 | 2022-07-10T16:10:31.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_unispeech_s112 | 2 | null | transformers | 27,066 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_unispeech_s112
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_unispeech_s474 | 85d19f6347d38cb0acfa955bc04220d6f091697d | 2022-07-10T16:13:26.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_unispeech_s474 | 2 | null | transformers | 27,067 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_unispeech_s474
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_hubert_s290 | e9caaa8663d21d186e8e7459d6eda1284d3f3529 | 2022-07-10T16:16:34.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_hubert_s290 | 2 | null | transformers | 27,068 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_hubert_s290
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_hubert_s947 | ef2bcadcae8cb9487c4174b1cc0d8d2956c5cfae | 2022-07-10T16:20:29.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_hubert_s947 | 2 | null | transformers | 27,069 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_hubert_s947
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_hubert_s693 | 434decee3a97e332f14f445c53742ba2455514e3 | 2022-07-10T16:23:25.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_hubert_s693 | 2 | null | transformers | 27,070 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_hubert_s693
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-sv_s445 | 48481f4b95fa13107bd09bd3ef164c709284ad02 | 2022-07-10T16:26:44.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-sv_s445 | 2 | null | transformers | 27,071 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-sv_s445
Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
yam1ke/test4 | fe4112d651ae7911a87e087ab4e7fa77cd3b40ea | 2022-07-10T16:28:20.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | yam1ke | null | yam1ke/test4 | 2 | null | transformers | 27,072 | Entry not found |
jonatasgrosman/exp_w2v2t_ar_vp-sv_s953 | c47d31b7f657e262ed7bb999e4966e064b087a4d | 2022-07-10T16:30:00.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-sv_s953 | 2 | null | transformers | 27,073 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-sv_s953
Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-sv_s807 | eee5cf6a928c0f209c573cadcf591bea916a6e7e | 2022-07-10T16:32:53.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-sv_s807 | 2 | null | transformers | 27,074 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-sv_s807
Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_no-pretraining_s6 | 4b045ebce0e33a2a93ea105e3b44b5fca17de105 | 2022-07-10T16:35:47.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_no-pretraining_s6 | 2 | null | transformers | 27,075 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_no-pretraining_s6
Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_no-pretraining_s808 | 6568b1986cfc1edcd58e703e01c650ae630873e0 | 2022-07-10T16:39:13.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_no-pretraining_s808 | 2 | null | transformers | 27,076 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_no-pretraining_s808
Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_no-pretraining_s368 | 27474e133509bb37d4c6783d83f7918bed7fdac7 | 2022-07-10T16:42:21.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_no-pretraining_s368 | 2 | null | transformers | 27,077 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_no-pretraining_s368
Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_wavlm_s95 | cbedbb059b7e468616ff74c615666679d2d32b14 | 2022-07-10T16:45:40.000Z | [
"pytorch",
"wavlm",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_wavlm_s95 | 2 | null | transformers | 27,078 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_wavlm_s95
Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_wavlm_s3 | 19650b55aad8b37158a81ca9f290109d5369f6fc | 2022-07-10T16:49:12.000Z | [
"pytorch",
"wavlm",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_wavlm_s3 | 2 | null | transformers | 27,079 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_wavlm_s3
Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_wavlm_s803 | 411251139e8a7b83a0258be7f338554d71e008dd | 2022-07-10T16:52:27.000Z | [
"pytorch",
"wavlm",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_wavlm_s803 | 2 | null | transformers | 27,080 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_wavlm_s803
Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_unispeech-ml_s496 | d231f55d026f8c49189a145386b98f76cd7722a4 | 2022-07-10T16:55:30.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_unispeech-ml_s496 | 2 | null | transformers | 27,081 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_unispeech-ml_s496
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_unispeech-ml_s365 | 189108710f1309e8b78ebf6ad20f4e37f79444a0 | 2022-07-10T16:58:49.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_unispeech-ml_s365 | 2 | null | transformers | 27,082 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_unispeech-ml_s365
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_unispeech-ml_s671 | 75c7926b46bbf65fc2655c7cf0ac6a05838ab83e | 2022-07-10T17:01:42.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_unispeech-ml_s671 | 2 | null | transformers | 27,083 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_unispeech-ml_s671
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-fr_s732 | 6d22c1d6241d16afb49a25a21b6a3f504bcc4515 | 2022-07-10T17:04:37.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-fr_s732 | 2 | null | transformers | 27,084 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-fr_s732
Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-fr_s468 | ca2c9d4d2d0f2903d98b2559981cd9c9824a758f | 2022-07-10T17:07:43.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-fr_s468 | 2 | null | transformers | 27,085 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-fr_s468
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-fr_s957 | 2099c0ffdf1070c0dd658f08c092e6d3a13917aa | 2022-07-10T17:10:40.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-fr_s957 | 2 | null | transformers | 27,086 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-fr_s957
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-es_s889 | fb5954cb1aa8b8ab8dbf6ee6c8cc0620764875c4 | 2022-07-10T17:14:15.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-es_s889 | 2 | null | transformers | 27,087 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-es_s889
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-es_s801 | 43794c9f58ce530c92612dc951fde56a9c1fd606 | 2022-07-10T17:17:27.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-es_s801 | 2 | null | transformers | 27,088 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-es_s801
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-es_s601 | becf16168f740209ef1bc80304e1c5dbcb1d163b | 2022-07-10T17:20:37.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-es_s601 | 2 | null | transformers | 27,089 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-es_s601
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-nl_s103 | 9554dc54c881a63fe977f1c66a7eb5b91b6618c0 | 2022-07-10T17:23:30.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-nl_s103 | 2 | null | transformers | 27,090 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-nl_s103
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-nl_s377 | d6cee728fe26cfd5c27e3f3a11c3666dca1ccb1f | 2022-07-10T17:26:36.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-nl_s377 | 2 | null | transformers | 27,091 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-nl_s377
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_vp-nl_s756 | 64a7bfe1e9e22a171c59704cab07879e74bab5e2 | 2022-07-10T17:29:32.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_vp-nl_s756 | 2 | null | transformers | 27,092 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_vp-nl_s756
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_unispeech-sat_s325 | fc37695718f7f6251350b2f50eaa58f06bf43ec3 | 2022-07-10T17:32:31.000Z | [
"pytorch",
"unispeech-sat",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_unispeech-sat_s325 | 2 | null | transformers | 27,093 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_unispeech-sat_s325
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_unispeech-sat_s504 | 480d2526c248bdb16cc0653699f1ec0faef4d8ad | 2022-07-10T17:35:49.000Z | [
"pytorch",
"unispeech-sat",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_unispeech-sat_s504 | 2 | null | transformers | 27,094 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_unispeech-sat_s504
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_unispeech-sat_s75 | 85fb3d7860c27f90b96ee3838911dfaecf3d7803 | 2022-07-10T17:39:07.000Z | [
"pytorch",
"unispeech-sat",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_unispeech-sat_s75 | 2 | null | transformers | 27,095 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_unispeech-sat_s75
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_xls-r_s396 | a665a27a85a691d037b8badf86503dfc7182336d | 2022-07-10T17:42:12.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_xls-r_s396 | 2 | null | transformers | 27,096 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_xls-r_s396
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_xls-r_s869 | f2d984fd8fea8ff8891f577f5a9b7d066220f8fd | 2022-07-10T17:45:14.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_xls-r_s869 | 2 | null | transformers | 27,097 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_xls-r_s869
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_xls-r_s271 | 32d8366df2764e291b69e36ab195a6715337b702 | 2022-07-10T17:48:20.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_xls-r_s271 | 2 | null | transformers | 27,098 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_xls-r_s271
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 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
jonatasgrosman/exp_w2v2t_ar_r-wav2vec2_s545 | e4217a958c6187e1cc73da954edb89107bfdca00 | 2022-07-10T17:51:43.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ar_r-wav2vec2_s545 | 2 | null | transformers | 27,099 | ---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- ar
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ar_r-wav2vec2_s545
Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (ar)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
|
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