Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use andreaparker/flan-t5-base-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreaparker/flan-t5-base-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("andreaparker/flan-t5-base-samsum") model = AutoModelForMultimodalLM.from_pretrained("andreaparker/flan-t5-base-samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f1692fcbeacccea4fac3d1d5c37659c4a709e15fada87fa4b7ee162b7a9243f
- Size of remote file:
- 3.64 kB
- SHA256:
- 5c14c624ddf826b9a0535f3439257db85ce84dcb0f7da5617e6b76571a8b93be
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