Instructions to use microsoft/BiomedVLP-CXR-BERT-general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BiomedVLP-CXR-BERT-general with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/BiomedVLP-CXR-BERT-general")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/BiomedVLP-CXR-BERT-general") model = AutoModelForMaskedLM.from_pretrained("microsoft/BiomedVLP-CXR-BERT-general", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (7098cb4d2082b9bdda0c8f846f2a6a6cadbc3d57) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>6172dbf
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use aka.ms link for the repository
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Ozan OktayRemove the AKA text to avoid confusion - Instead add a description saying that the general model is suitable for other clinical applications as well.250e296
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More examples
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initial commit
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