Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rooftopcoder/byt5-small-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/byt5-small-coqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/byt5-small-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/byt5-small-coqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 397b23ca720e2dd225806de16e1905e19ef37c2846111d5d3971206ffb1b9a2d
- Size of remote file:
- 1.2 GB
- SHA256:
- 78d851cf65ee2ac98dbb52399bd87180116b2d9187ee186b4782a420878a93e6
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