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
inference=true
Browse files
README.md
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license: mit
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language:
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- en
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base_model:
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- microsoft/codebert-base-mlm
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- web3se/SmartBERT-v2
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license: mit
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language:
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- en
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inference: true
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base_model:
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- microsoft/codebert-base-mlm
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- web3se/SmartBERT-v2
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