Instructions to use rayvvv/mms-1b-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rayvvv/mms-1b-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rayvvv/mms-1b-multilingual")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rayvvv/mms-1b-multilingual") model = AutoModelForCTC.from_pretrained("rayvvv/mms-1b-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter.cmn-script_simplified.bin from rayvvv/mms-1b-multilingual: direct link, hf CLI and curl.
- Browser
- Download file 31.7 MB
-
https://huggingface.co/rayvvv/mms-1b-multilingual/resolve/main/adapter.cmn-script_simplified.bin
- Command line
-
hf download hf://rayvvv/mms-1b-multilingual/adapter.cmn-script_simplified.bin
-
curl -L -o adapter.cmn-script_simplified.bin https://huggingface.co/rayvvv/mms-1b-multilingual/resolve/main/adapter.cmn-script_simplified.bin
31.7 MB
- Xet hash:
- 5bc7fc230c534ff167b71b09288049996c9cfca6538c4e88241c82f311e7bb90
- Size of remote file:
- 31.7 MB
- SHA256:
- be07bc69911469b8f7f95531a4ce9b626708981d8155be44a36bc93d4bb6e17a
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