
# Wav2vec2-Large-English

Fine-tuned [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on English using the [Common Voice](https://huggingface.co/datasets/common_voice).
When using this model, make sure that your speech input is sampled at 16kHz.


{}
transformers pytorch wav2vec2 automatic-speech-recognition endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #endpoints_compatible #region-us 


# Wav2vec2-Large-English

Fine-tuned facebook/wav2vec2-large on English using the Common Voice.
When using this model, make sure that your speech input is sampled at 16kHz.


# Wav2vec2-Large-English

Fine-tuned facebook/wav2vec2-large on English using the Common Voice.
When using this model, make sure that your speech input is sampled at 16kHz.
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #endpoints_compatible #region-us 
 # Wav2vec2-Large-English

Fine-tuned facebook/wav2vec2-large on English using the Common Voice.
When using this model, make sure that your speech input is sampled at 16kHz.
passage: TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #endpoints_compatible #region-us 
# Wav2vec2-Large-English

Fine-tuned facebook/wav2vec2-large on English using the Common Voice.
When using this model, make sure that your speech input is sampled at 16kHz.