Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use VS18/flan-t5-base-billsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VS18/flan-t5-base-billsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VS18/flan-t5-base-billsum") model = AutoModelForSeq2SeqLM.from_pretrained("VS18/flan-t5-base-billsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f759941b034f4c3e24d3707574a5c23898b466728e5572aae07dae6eb28c5a1
- Size of remote file:
- 4.22 kB
- SHA256:
- 7e888303a2783ad810fbf183613bee28e78f67b1dfbf95bdf4279d8110f359ff
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