Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
librispeech_asr
Generated from Trainer
Instructions to use ylacombe/wav2vec2-bert-CV16-en-libri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ylacombe/wav2vec2-bert-CV16-en-libri 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-libri")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ylacombe/wav2vec2-bert-CV16-en-libri") model = AutoModelForCTC.from_pretrained("ylacombe/wav2vec2-bert-CV16-en-libri", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K