Instructions to use vente/t5-small-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vente/t5-small-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vente/t5-small-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("vente/t5-small-finetuned-xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 276d707578095e6147fc1ea8f12a8aab3a391682973f60ead9f43e46d9ca796c
- Size of remote file:
- 3.5 kB
- SHA256:
- 84125301efff5f72bb2f482f22f679f8def76aa01c0ba9a45c93c4979875e743
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