Instructions to use facebook/mms-1b-l1107 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-1b-l1107 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/mms-1b-l1107")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/mms-1b-l1107") model = AutoModelForCTC.from_pretrained("facebook/mms-1b-l1107") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e2443d0d33bdc8739677fa7f87ce18764b9e18ebc4df44776bce964751f71a7
- Size of remote file:
- 8.91 MB
- SHA256:
- 9dff87ca6cf2e4219f1fd7986cb873f408d79f87a9081a044a1430ab8bd0ecf6
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