Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
wav2vec2-bert
mozilla-foundation/common_voice_16_0
Generated from Trainer
Instructions to use ylacombe/wav2vec2-bert-CV16-en-cv-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ylacombe/wav2vec2-bert-CV16-en-cv-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ylacombe/wav2vec2-bert-CV16-en-cv-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ylacombe/wav2vec2-bert-CV16-en-cv-2") model = AutoModelForCTC.from_pretrained("ylacombe/wav2vec2-bert-CV16-en-cv-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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