Transformers
PyTorch
Safetensors
English
t5
text2text-generation
solidity
web3
code generation
smart contract
text-generation-inference
Instructions to use hululuzhu/solidity-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hululuzhu/solidity-t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hululuzhu/solidity-t5") model = AutoModelForSeq2SeqLM.from_pretrained("hululuzhu/solidity-t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9c00dc4f40043c1f83d20090d57d442c3c44a4c8e9dc508f864535915182717
- Size of remote file:
- 2.95 GB
- SHA256:
- 88bf0885d6cb224aa4e7e659e653e6df8fa1ef03e3c58fc57ef9992b58d75565
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