Instructions to use prithivMLmods/WBC-Type-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/WBC-Type-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/WBC-Type-Classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/WBC-Type-Classifier") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/WBC-Type-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ffc1dc94d9baaf3cc9d2c5472f58357e1eaa04e5ff06b453fe3368580a8dfa7
- Size of remote file:
- 372 MB
- SHA256:
- 6e71c95f170829815538bcb829f09cd9630caf7a0c66878baedd19d755bdf0fd
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