Instructions to use jerome1519/t5-small-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jerome1519/t5-small-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jerome1519/t5-small-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("jerome1519/t5-small-finetuned-xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d015db27e32b754ce3e87736a8399b1458d2db038cb8efb2d8b4ff6d0e21b444
- Size of remote file:
- 4.09 kB
- SHA256:
- d22549ab9afb26df547d6c51d9c86230da5e4ff8723dc2f5a09f81627021f996
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