Instructions to use brutusxu/t5-base-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brutusxu/t5-base-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("brutusxu/t5-base-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("brutusxu/t5-base-finetuned-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7469471c6b925b8ecdf02244c20c052415345258dca7f2671f538b945d8d15fd
- Size of remote file:
- 627 Bytes
- SHA256:
- a4ca02b42dda87eae1f459f5612ce04d7d315a41f30465487297bda13c7d35e5
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