Instructions to use leonardvorbeck/wav2vec2-large-robust-LS960 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonardvorbeck/wav2vec2-large-robust-LS960 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="leonardvorbeck/wav2vec2-large-robust-LS960")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("leonardvorbeck/wav2vec2-large-robust-LS960") model = AutoModelForCTC.from_pretrained("leonardvorbeck/wav2vec2-large-robust-LS960") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 0daa89a
Update README.md 3c9ddc6
First model version 8a277b8
Leonard Vorbeck commited on
second model ported from fairseq d632520
Leonard Vorbeck commited on