Feature Extraction
Transformers
Safetensors
cxr-bert
medical
radiology
chest-x-ray
embeddings
custom_code
Instructions to use pamessina/CXRFE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pamessina/CXRFE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pamessina/CXRFE", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pamessina/CXRFE", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Update source code and model's weights
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try copying original CXR-BERT's source code to see if it works
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use _commit_hash
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add revision
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First version of the CXRFE model and tokenizer.
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initial commit
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