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:
# 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
- Xet hash:
- d61cf8e314979cbaf4225269b833a70656f6c0b0e076075c64117c0742e304ca
- Size of remote file:
- 1.63 GB
- SHA256:
- 2460b3478aec2df105468a2e0fd02451d960661c41cfd6812ee1fbf0faf6a47b
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