Instructions to use IAMJB/mimic-cxr-impression-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IAMJB/mimic-cxr-impression-baseline with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="IAMJB/mimic-cxr-impression-baseline")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("IAMJB/mimic-cxr-impression-baseline") model = AutoModelForImageTextToText.from_pretrained("IAMJB/mimic-cxr-impression-baseline") - Notebooks
- Google Colab
- Kaggle
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- src: https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/Chest-X-ray-taken-on-2-nd-day-of-admission-in-the_Q320.jpg
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- src: https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/effusions-bibasal.jpg
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- src: https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/Chest-X-ray-taken-on-2-nd-day-of-admission-in-the_Q320.jpg
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- src: https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/effusions-bibasal.jpg
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[Evaluation on chexpert-plus](https://github.com/Stanford-AIMI/chexpert-plus)
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