Instructions to use kssteven/T5-large-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/T5-large-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kssteven/T5-large-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("kssteven/T5-large-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 881a02f81c1087a39d6af21dd36f2fa6ab8641c584bd97276f52cb318960cfa7
- Size of remote file:
- 3.58 kB
- SHA256:
- 5a10b8e65bce04fb2194354848bedd184590245aa804d7681d11139a3100f0ac
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