Instructions to use BuzzASR/mongolian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BuzzASR/mongolian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BuzzASR/mongolian")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BuzzASR/mongolian") model = AutoModelForSpeechSeq2Seq.from_pretrained("BuzzASR/mongolian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
27 days ago
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Update model card: add arXiv:2609.09554 link + BibTeX, fix project URL to buzz-asr
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Goldfish (not fish-food) + explicit SOTA badge
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Fix generation config (persistable prompt) + CV25 dataset reference
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Add BuzzASR Mongolian (FFT, v4)
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initial commit
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