Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use GMGowtham/flan-t5-base-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GMGowtham/flan-t5-base-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("GMGowtham/flan-t5-base-samsum") model = AutoModelForMultimodalLM.from_pretrained("GMGowtham/flan-t5-base-samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae71ea69e355aaf88ac10124fd946fcdbc702f85d2a2d816f8acb0fda98c40c9
- Size of remote file:
- 990 MB
- SHA256:
- e92cad1fdcbb875e793a3dc4b390f7cc4c1162cc0cea6fc787ac957f9c3192f2
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