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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 437466710603669d4dcbae6f07b3ede4fbb4532512e214edd64586e60ab2ee9b
- Size of remote file:
- 687 MB
- SHA256:
- 0daebcb0cbadb4cf1b5f2626e0a68778059e02bab767f1fe84ba0a3c9ce64016
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