Instructions to use arthoho66/medicine_fine_tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arthoho66/medicine_fine_tune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arthoho66/medicine_fine_tune")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("arthoho66/medicine_fine_tune") model = AutoModelForMultimodalLM.from_pretrained("arthoho66/medicine_fine_tune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccc911bbb23459ecbf609aa2ed201c2c194c8c17ef274973d25c420cb084b22f
- Size of remote file:
- 14.6 kB
- SHA256:
- ba1b3a3ef455a5391e06bf7778aab1bfe983e6fdc5890f1ed2d9d1cbddc9e589
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