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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/WBC-Type-Classifier") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/WBC-Type-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-535/scheduler.pt from prithivMLmods/WBC-Type-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/prithivMLmods/WBC-Type-Classifier/resolve/main/checkpoint-535/scheduler.pt
- Command line
-
hf download hf://prithivMLmods/WBC-Type-Classifier/checkpoint-535/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/prithivMLmods/WBC-Type-Classifier/resolve/main/checkpoint-535/scheduler.pt
1.06 kB
- Xet hash:
- 4a3699025e05dda23d9d4181daaa52e74ac3d8b4fe2b9b490a88ea9825af3e0c
- Size of remote file:
- 1.06 kB
- SHA256:
- c2bf46e5db91dad6e575166b600f8e203aa97eed5abca817b4f77057899ee987
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