Instructions to use allenai/System4_classify_FigLang2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/System4_classify_FigLang2022 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/System4_classify_FigLang2022") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/System4_classify_FigLang2022") - Notebooks
- Google Colab
- Kaggle
string => array of string
Browse files
README.md
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language: en
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license: cc-by-4.0
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library_name: transformers
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datasets:
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---
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# Model description
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This is the T5-3B model for the "classify" component of System 4's "Classify then explain" pipeline, as described in our paper Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE, FigLang workshop @ EMNLP 2022 (Arxiv link: https://arxiv.org/abs/2210.16407)
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language: en
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license: cc-by-4.0
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library_name: transformers
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datasets:
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- ColumbiaNLP/FLUTE
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---
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# Model description
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This is the T5-3B model for the "classify" component of System 4's "Classify then explain" pipeline, as described in our paper Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE, FigLang workshop @ EMNLP 2022 (Arxiv link: https://arxiv.org/abs/2210.16407)
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