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:
- d5ce5ecb45e62fd90cc9b7a566c9d95db5939f5addf2c0ea0c256d277c167961
- Size of remote file:
- 990 MB
- SHA256:
- a9c41f877fe0e15973fabd60eebe3564b42af1d4ff106ce50b28fe6c667b6cb6
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