Instructions to use jsgao/bart-eli5c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsgao/bart-eli5c with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jsgao/bart-eli5c") model = AutoModelForSeq2SeqLM.from_pretrained("jsgao/bart-eli5c", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Jingsong Gao commited on
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Answer generator model of [ELI5-Category Dataset](https://celeritasml.netlify.app/posts/2021-12-01-eli5c/)
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language: en
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license: MIT
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datasets:
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- eli5_category
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Answer generator model of [ELI5-Category Dataset](https://celeritasml.netlify.app/posts/2021-12-01-eli5c/)
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