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:
- e4ff0e766da7c3c53af4fe4bbc4ad9eb308f3f22b57b314bc5e02e89015e6358
- Size of remote file:
- 3.58 kB
- SHA256:
- 3ea42282aa2e2c6b18d3725f9cefc3f6a8a74e9694e6e9d63375577351968b50
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