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web3se
/
SmartBERT-v2

Feature Extraction
Transformers
PyTorch
English
roberta
fill-mask
smart-contract
web3
software-engineering
embedding
codebert
solidity
code-understanding
Model card Files Files and versions
xet
Community
5

Instructions to use web3se/SmartBERT-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use web3se/SmartBERT-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="web3se/SmartBERT-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("web3se/SmartBERT-v2")
    model = AutoModelForMaskedLM.from_pretrained("web3se/SmartBERT-v2")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#5 opened 15 days ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened 7 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened 8 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened over 1 year ago by
SFconvertbot
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