Instructions to use kssteven/T5-small-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/T5-small-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kssteven/T5-small-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("kssteven/T5-small-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc12ea12f072f260ea9a9510eef7e01764e89f90141a07004f2ab3fde0cd80fd
- Size of remote file:
- 242 MB
- SHA256:
- 7995681b30d635d9514f86492334bbb94d63406eb70ad1c43eaa466878b77bee
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