Instructions to use razent/SciFive-large-Pubmed_PMC-MedNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razent/SciFive-large-Pubmed_PMC-MedNLI with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("razent/SciFive-large-Pubmed_PMC-MedNLI") model = AutoModelForSeq2SeqLM.from_pretrained("razent/SciFive-large-Pubmed_PMC-MedNLI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from razent/SciFive-large-Pubmed_PMC-MedNLI: direct link, hf CLI and curl.
- Browser
- Download file 1.39 MB
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https://huggingface.co/razent/SciFive-large-Pubmed_PMC-MedNLI/resolve/10e8e91cb3f90e357056fc355f15b9b75ebb41f2/tokenizer.json
- Command line
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hf download hf://razent/SciFive-large-Pubmed_PMC-MedNLI@10e8e91cb3f90e357056fc355f15b9b75ebb41f2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/razent/SciFive-large-Pubmed_PMC-MedNLI/resolve/10e8e91cb3f90e357056fc355f15b9b75ebb41f2/tokenizer.json
1.39 MB
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