Instructions to use lytang/MiniCheck-Flan-T5-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lytang/MiniCheck-Flan-T5-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lytang/MiniCheck-Flan-T5-Large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lytang/MiniCheck-Flan-T5-Large") model = AutoModelForSeq2SeqLM.from_pretrained("lytang/MiniCheck-Flan-T5-Large") - Notebooks
- Google Colab
- Kaggle
add Colab Demo
Browse files
README.md
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license: mit
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This is a fact-checking model from our work:
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license: mit
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# MiniCheck-Flan-T5-Large
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[](https://colab.research.google.com/drive/1s-5TYnGV3kGFMLp798r5N-FXPD8lt2dm?usp=sharing)
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This is a fact-checking model from our work:
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