Instructions to use Fu-chiang/bit-50-Glaucoma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fu-chiang/bit-50-Glaucoma with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fu-chiang/bit-50-Glaucoma") 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-Glaucoma") model = AutoModelForImageClassification.from_pretrained("Fu-chiang/bit-50-Glaucoma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40bba991acaf2b747574ad352669967ef8c4488b4ffe63956951446df028b8c8
- Size of remote file:
- 14.6 kB
- SHA256:
- 62f00a8afa2437c04569329e0b1ef3cc347ac6d475d155806975dad22a1ac07a
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