Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Instructions to use rdzotz/w2v2_bert_ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rdzotz/w2v2_bert_ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rdzotz/w2v2_bert_ru")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rdzotz/w2v2_bert_ru") model = AutoModelForCTC.from_pretrained("rdzotz/w2v2_bert_ru") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfa59b9a23a7cc798a24e721ca4f6ac9f28fd9577a04c1d6fa4586302ad278ca
- Size of remote file:
- 4.66 kB
- SHA256:
- 8426c591eba826c30d6a0805d464caa39d5c53af4cee0df25680ffc5f407d643
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