Instructions to use facebook/mms-1b-fl102 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-1b-fl102 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/mms-1b-fl102")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/mms-1b-fl102") model = AutoModelForCTC.from_pretrained("facebook/mms-1b-fl102") - Notebooks
- Google Colab
- Kaggle
Change the license
#1
by wannaphong - opened
MMS models use CC BY-NC 4.0 not CC BY-SA 4.0.
Good point! Sorry this was my mistake. Here the correct license for reference: https://github.com/facebookresearch/fairseq/tree/main/examples/mms#license
patrickvonplaten changed pull request status to merged