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:
- 14f9f240072161813a52c0335c5af3c5fd72a61f66cc35b0b7a29a96894bf025
- Size of remote file:
- 242 MB
- SHA256:
- ff9413c0c9978ee61630264e449f9d1887cc757ee28fdb3149d15f5487df1733
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