Instructions to use vblagoje/greaselm-csqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vblagoje/greaselm-csqa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMultipleChoice model = AutoModelForMultipleChoice.from_pretrained("vblagoje/greaselm-csqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Use distilroberta-base as the scoring model
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Update preprocessor_config.json
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Revert score model back to roberta-large until obqa accuracy degradation is resolved
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Use distilroberta-base for score model
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Update preprocessor_config.json
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Create preprocessor_config.json
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