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:
- cbc98d72791fff358e80dc4cd6b8f450a3aca71c48373fc7d57b56eb2c6435a3
- Size of remote file:
- 5.3 kB
- SHA256:
- c9ff2e89b955b9e4f83ca055f98105617928027ddb830251a26d76b910092a18
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