Fill-Mask
Transformers
PyTorch
English
roberta
smart-contract
web3
software-engineering
embedding
codebert
Instructions to use web3se/SmartBERT-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use web3se/SmartBERT-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="web3se/SmartBERT-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("web3se/SmartBERT-v3") model = AutoModelForMaskedLM.from_pretrained("web3se/SmartBERT-v3") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -83,7 +83,7 @@ To train and deploy the SmartBERT V3 model for Web API services, please refer to
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```tex
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@article{huang2025smart,
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title={Smart Contract Intent Detection with Pre-trained Programming Language Model},
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author={Huang, Youwei and Li, Jianwen and Fang, Sen and Li, Yao and Yang, Peng and Hu, Bin
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journal={arXiv preprint arXiv:2508.20086},
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year={2025}
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}
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```tex
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@article{huang2025smart,
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title={Smart Contract Intent Detection with Pre-trained Programming Language Model},
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author={Huang, Youwei and Li, Jianwen and Fang, Sen and Li, Yao and Yang, Peng and Hu, Bin},
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journal={arXiv preprint arXiv:2508.20086},
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year={2025}
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}
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