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:
- 99fd5b7fd4bbe1f00f68d4665332c8fa9f0061e8763c6190eda3c2dcd0328777
- Size of remote file:
- 94.1 MB
- SHA256:
- 1bf3b96c3436625e41d0c0a5bbd64bcb4711113044756449997d7d1f2094a733
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