Instructions to use orkg/R0_contribution_IE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orkg/R0_contribution_IE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("orkg/R0_contribution_IE") model = AutoModelForSeq2SeqLM.from_pretrained("orkg/R0_contribution_IE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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This model is a fine-tuned version of google/flan-t5-large on scholarly articles in virology.
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It produces structured summaries in JSON format from paper's context (title and abstract) for the research theme
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This model is a fine-tuned version of google/flan-t5-large on scholarly articles in virology.
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It produces structured summaries in JSON format from paper's context (title and abstract) for the research theme "R0 value on infectious diseases".
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