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:
- 9c9db4f162ee60c277208b8dcc0d0929aaa7d6d762355e32b1bf8c891c571867
- Size of remote file:
- 4.09 kB
- SHA256:
- 3777ffca61ef5c0b8686bf4a22c4384c5ae759542a6f0d3a45ff816a1769e94a
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