Instructions to use HuggingAnalist/mms-1b-asr-lin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingAnalist/mms-1b-asr-lin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HuggingAnalist/mms-1b-asr-lin")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("HuggingAnalist/mms-1b-asr-lin") model = AutoModelForCTC.from_pretrained("HuggingAnalist/mms-1b-asr-lin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28f08057b65c2bca1034a97abee068dbe855325b32d92e6c537f24e356ac2ed4
- Size of remote file:
- 5.14 kB
- SHA256:
- 1ef23d1a820e93015a8ef099060edcdcaee5ca39b1d8bf7e61f99794f09b06d2
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