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.abi.bin from facebook/mms-1b-l1107: direct link, hf CLI and curl.
- Browser
- Download file 8.99 MB
-
https://huggingface.co/facebook/mms-1b-l1107/resolve/main/adapter.abi.bin
- Command line
-
hf download hf://facebook/mms-1b-l1107/adapter.abi.bin
-
curl -L -o adapter.abi.bin https://huggingface.co/facebook/mms-1b-l1107/resolve/main/adapter.abi.bin
8.99 MB
- Xet hash:
- 5d697a2ad34b6f5cd55bc0138057e9b560be5c912c8480ae3fa082caa33c7dde
- Size of remote file:
- 8.99 MB
- SHA256:
- e1133d07f911ea93cea5b303f2f61e9c822253617fe4d51267c726113efc1e66
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