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
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -25,7 +25,7 @@
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"nli": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length":
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "mednli: "
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"nli": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 8,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "mednli: "
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