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, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arthoho66/medicine_fine_tune") model = AutoModelForSpeechSeq2Seq.from_pretrained("arthoho66/medicine_fine_tune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b628d1d641322e308522c461c017ce73e7b7632f65b38a15b125a5539261e76a
- Size of remote file:
- 6.11 GB
- SHA256:
- c61222df5796ddcceeb9b78811a4e9884f826a013a65250e7cd073b5772edd31
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