Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rooftopcoder/t5-small-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/t5-small-coqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/t5-small-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/t5-small-coqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9886f0849a1735da8ce190c1d5711f0248e431f351f98ece669fea7f8b735178
- Size of remote file:
- 242 MB
- SHA256:
- 338fb1f8068581c3ce04899ac11e74e01c82fb8a41adf31911878217300fc9ae
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