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:
- 1ee5f17b77c1e97dbd16972c8ead03ab30a27bd6830678effc2b3aa715516da4
- Size of remote file:
- 3.06 GB
- SHA256:
- 172180bc857443f1498a0d7e1aa8dd5ea3af06e13debe6e43290d37d482f27ef
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