# exp_w2v2t_fr_wavlm_s766

Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (fr)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0).
When using this model, make sure that your speech input is sampled at 16kHz.

This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
    
{"language": ["fr"], "license": "apache-2.0", "tags": ["automatic-speech-recognition", "fr"], "datasets": ["mozilla-foundation/common_voice_7_0"]}
transformers pytorch wavlm automatic-speech-recognition fr dataset:mozilla-foundation/common_voice_7_0 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #wavlm #automatic-speech-recognition #fr #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 

# exp_w2v2t_fr_wavlm_s766

Fine-tuned microsoft/wavlm-large for speech recognition using the train split of Common Voice 7.0 (fr).
When using this model, make sure that your speech input is sampled at 16kHz.

This model has been fine-tuned by the HuggingSound tool.
    
# exp_w2v2t_fr_wavlm_s766

Fine-tuned microsoft/wavlm-large for speech recognition using the train split of Common Voice 7.0 (fr).
When using this model, make sure that your speech input is sampled at 16kHz.

This model has been fine-tuned by the HuggingSound tool.
TAGS
#transformers #pytorch #wavlm #automatic-speech-recognition #fr #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
 # exp_w2v2t_fr_wavlm_s766

Fine-tuned microsoft/wavlm-large for speech recognition using the train split of Common Voice 7.0 (fr).
When using this model, make sure that your speech input is sampled at 16kHz.

This model has been fine-tuned by the HuggingSound tool.
passage: TAGS
#transformers #pytorch #wavlm #automatic-speech-recognition #fr #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
# exp_w2v2t_fr_wavlm_s766

Fine-tuned microsoft/wavlm-large for speech recognition using the train split of Common Voice 7.0 (fr).
When using this model, make sure that your speech input is sampled at 16kHz.

This model has been fine-tuned by the HuggingSound tool.