Instructions to use facebook/mms-1b-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-1b-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/mms-1b-all")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/mms-1b-all") model = AutoModelForCTC.from_pretrained("facebook/mms-1b-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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- Change the license (8b3b35cfb05bcbe68ee49fee8506ef3317243486) Co-authored-by: Wannaphong Phatthiyaphaibun <wannaphong@users.noreply.huggingface.co>913e947
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