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
Download adapter.agd.bin from facebook/mms-1b-all: direct link, hf CLI and curl.
- Browser
- Download file 8.87 MB
-
https://huggingface.co/facebook/mms-1b-all/resolve/refs%2Fpr%2F22/adapter.agd.bin
- Command line
-
hf download hf://facebook/mms-1b-all@refs/pr/22/adapter.agd.bin
-
curl -L -o adapter.agd.bin https://huggingface.co/facebook/mms-1b-all/resolve/refs%2Fpr%2F22/adapter.agd.bin
8.87 MB
- Xet hash:
- 7ab6bee6621479ddf3e225c5b1750b307513b130bf1827eb4b42667197b126a1
- Size of remote file:
- 8.87 MB
- SHA256:
- 93c6dd1344bdbafeacb2e77763f54b7b4a2de625ed55fb7eeda28535cff1242e
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