Instructions to use aehrc/cxrmate-rrg24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aehrc/cxrmate-rrg24 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aehrc/cxrmate-rrg24", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aehrc/cxrmate-rrg24", trust_remote_code=True) model = AutoModel.from_pretrained("aehrc/cxrmate-rrg24", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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datasets:
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- StanfordAIMI/interpret-cxr-test-public
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# Model Card for Model ID
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license: apache-2.0
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datasets:
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- StanfordAIMI/interpret-cxr-test-public
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- StanfordAIMI/interpret-cxr-test-hidden
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# Model Card for Model ID
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