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:
- ccd6d24518c7416eb44b79efb1d0543273c4afd301981df249a9976938b3d168
- Size of remote file:
- 4.09 kB
- SHA256:
- 7baf056fef5a261e8aed7e326df230cb0f035686f25aac2d24e6218e1e5b61a2
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