# exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s271

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 (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 wav2vec2 automatic-speech-recognition fr dataset:mozilla-foundation/common_voice_7_0 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #fr #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 

# exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s271

Fine-tuned facebook/wav2vec2-large-100k-voxpopuli 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_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s271

Fine-tuned facebook/wav2vec2-large-100k-voxpopuli 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 #wav2vec2 #automatic-speech-recognition #fr #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
 # exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s271

Fine-tuned facebook/wav2vec2-large-100k-voxpopuli 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 #wav2vec2 #automatic-speech-recognition #fr #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
# exp_w2v2r_fr_vp-100k_accent_france-10_belgium-0_s271

Fine-tuned facebook/wav2vec2-large-100k-voxpopuli 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.