Instructions to use codewithdark/vit-chest-xray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codewithdark/vit-chest-xray with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="codewithdark/vit-chest-xray") 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("codewithdark/vit-chest-xray") model = AutoModelForImageClassification.from_pretrained("codewithdark/vit-chest-xray") - Inference
- Notebooks
- Google Colab
- Kaggle
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license: mit
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license: mit
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language:
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- en
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metrics:
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- accuracy
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base_model:
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- google/vit-base-patch16-224-in21k
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pipeline_tag: image-classification
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library_name: transformers
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tags:
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- medical
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- biology
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