Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rooftopcoder/distilt5-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/distilt5-coqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/distilt5-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/distilt5-coqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4737760afd420f6dc2cfde4c2a5b047447b40867ae545d8bf474a44fa163192
- Size of remote file:
- 208 MB
- SHA256:
- b2806c7e3c3641e303390d8f6dd2e53ccfdbfa60cdc467bca3857b7b37504926
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