Instructions to use microsoft/BiomedVLP-CXR-BERT-specialized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BiomedVLP-CXR-BERT-specialized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/BiomedVLP-CXR-BERT-specialized", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/BiomedVLP-CXR-BERT-specialized", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ozan Oktay commited on
Commit ·
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Parent(s): b990504
add model
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "CXR-BERT-specialized
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"architectures": [
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"CXRBertModel"
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],
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{
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"_name_or_path": "microsoft/BiomedVLP-CXR-BERT-specialized",
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"architectures": [
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"CXRBertModel"
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],
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