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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3d89c7a4f3cad3f87d32ce0903ec826af285f89c604d928bf81fef6c1e91928
- Size of remote file:
- 4.92 kB
- SHA256:
- 6f7855f212d39180a74392ed00777ae962b15e47ad4528f0eec431cc0dd2b574
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