Instructions to use spacemanidol/flan-t5-large-website-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spacemanidol/flan-t5-large-website-summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("spacemanidol/flan-t5-large-website-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("spacemanidol/flan-t5-large-website-summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fc265b80c13a6add64c54dea0b687fe1f76efe84693e4f7938338b349c70323
- Size of remote file:
- 1.57 GB
- SHA256:
- 4f1edeba0166d3d8b2273735f158b68646d2b52ced94423ee003299f9e5fb74b
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