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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter.aha.bin from facebook/mms-1b-l1107: direct link, hf CLI and curl.
- Browser
- Download file 8.96 MB
-
https://huggingface.co/facebook/mms-1b-l1107/resolve/main/adapter.aha.bin
- Command line
-
hf download hf://facebook/mms-1b-l1107/adapter.aha.bin
-
curl -L -o adapter.aha.bin https://huggingface.co/facebook/mms-1b-l1107/resolve/main/adapter.aha.bin
8.96 MB
- Xet hash:
- 2abdb7af10589ced187216ef0bb1cd403c1ad987526af02976d32c6acafe3823
- Size of remote file:
- 8.96 MB
- SHA256:
- f242451eba3880cb80a4c640f060ad327e09b9ea8ec7e81062c27fbf3f52090d
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