# exp_w2v2t_de_hubert_s55

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 (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.
    
{"language": ["de"], "license": "apache-2.0", "tags": ["automatic-speech-recognition", "de"], "datasets": ["mozilla-foundation/common_voice_7_0"]}
transformers pytorch hubert automatic-speech-recognition de dataset:mozilla-foundation/common_voice_7_0 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #hubert #automatic-speech-recognition #de #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 

# exp_w2v2t_de_hubert_s55

Fine-tuned facebook/hubert-large-ll60k for speech recognition using the train split of Common Voice 7.0 (de).
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_de_hubert_s55

Fine-tuned facebook/hubert-large-ll60k for speech recognition using the train split of Common Voice 7.0 (de).
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 #hubert #automatic-speech-recognition #de #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
 # exp_w2v2t_de_hubert_s55

Fine-tuned facebook/hubert-large-ll60k for speech recognition using the train split of Common Voice 7.0 (de).
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 #hubert #automatic-speech-recognition #de #dataset-mozilla-foundation/common_voice_7_0 #license-apache-2.0 #endpoints_compatible #region-us 
# exp_w2v2t_de_hubert_s55

Fine-tuned facebook/hubert-large-ll60k for speech recognition using the train split of Common Voice 7.0 (de).
When using this model, make sure that your speech input is sampled at 16kHz.

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