Instructions to use uchicago-dsi/cgfp-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uchicago-dsi/cgfp-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("uchicago-dsi/cgfp-classifier") model = AutoModel.from_pretrained("uchicago-dsi/cgfp-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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five task model
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retrain model with eval metric and add columns toconfig
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100 epochs
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add model config
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return dict
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new model outputs
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convert to expected huggingface format
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test model
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initial model commit
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initial commit
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