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:
- a3c81d116cf1f8fbd9be2e0d9636d0687c5b666aa95732334df6a8b0e66febc4
- Size of remote file:
- 627 Bytes
- SHA256:
- 43a6b7730bf777ae3041d45808acb12695e4489d3e2737fcdd80426bd64d88a2
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