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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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KenLM n-gram for lin beam-search decoding
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Fine-tuned MMS-300M ASR (lin)
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initial commit
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