Instructions to use NeuronZero/WBC-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuronZero/WBC-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NeuronZero/WBC-Classifier") 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("NeuronZero/WBC-Classifier") model = AutoModelForImageClassification.from_pretrained("NeuronZero/WBC-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e9596cab229d0c53feeb5f6af1d6e2feda0dceb280eac6a900afe92eb2a03e7
- Size of remote file:
- 188 MB
- SHA256:
- ad5ef3df5d184537e05233a4fdb82eebafab51ab09cc9743bd10d33eca69eece
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