Instructions to use Fu-chiang/bit-50-Pharyngitis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fu-chiang/bit-50-Pharyngitis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fu-chiang/bit-50-Pharyngitis") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Fu-chiang/bit-50-Pharyngitis") model = AutoModelForImageClassification.from_pretrained("Fu-chiang/bit-50-Pharyngitis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64a044dcdb740058c095f8eae6eb22595da554ae4f808ed694c4c637688ee47c
- Size of remote file:
- 4.03 kB
- SHA256:
- acc8b7bab1ade4e0d6424a1f941b7718a67193b5aabf7db3f59c7627598a8dc3
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