Feature Extraction
Transformers
Safetensors
mettle
computational-pathology
histopathology
foundation-model
scanner-robustness
custom_code
Instructions to use slideflow-labs/mettle-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slideflow-labs/mettle-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="slideflow-labs/mettle-1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("slideflow-labs/mettle-1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
9 days ago
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Name the earlier release METTLE 1 (pre-release)
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Update README.md
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Set CC-BY-NC-ND-4.0 license, clarify H-optimus-0 HEST comparator
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Add Mettle RC2 weights, loader, and model card
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initial commit
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