# exp_w2v2t_et_wav2vec2_s253

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 (et)](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": ["et"], "license": "apache-2.0", "tags": ["automatic-speech-recognition", "et"], "datasets": ["mozilla-foundation/common_voice_7_0"]}
transformers pytorch wav2vec2 automatic-speech-recognition et dataset:mozilla-foundation/common_voice_7_0 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #et #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 

# exp_w2v2t_et_wav2vec2_s253

Fine-tuned facebook/wav2vec2-large-lv60 for speech recognition using the train split of Common Voice 7.0 (et).
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_et_wav2vec2_s253

Fine-tuned facebook/wav2vec2-large-lv60 for speech recognition using the train split of Common Voice 7.0 (et).
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 #et #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
 # exp_w2v2t_et_wav2vec2_s253

Fine-tuned facebook/wav2vec2-large-lv60 for speech recognition using the train split of Common Voice 7.0 (et).
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 #wav2vec2 #automatic-speech-recognition #et #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
# exp_w2v2t_et_wav2vec2_s253

Fine-tuned facebook/wav2vec2-large-lv60 for speech recognition using the train split of Common Voice 7.0 (et).
When using this model, make sure that your speech input is sampled at 16kHz.

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