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", device_map="auto") 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
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pipeline_tag: image-classification
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# ResNet-50 v1.5
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pipeline_tag: image-classification
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# WBC-Classifier(small-sized model)
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WBC-Classifier is a fine-tuned version of [resnet-50](https://huggingface.co/microsoft/resnet-50). This model has been fine tuned on this [dataset](https://huggingface.co/datasets/Falah/Blood_8_classes_Dataset)
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# ResNet-50 v1.5
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