Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

web3se
/
SmartBERT

Fill-Mask
Transformers
PyTorch
English
roberta
smart-contract
web3
software-engineering
embedding
codebert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use web3se/SmartBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="web3se/SmartBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("web3se/SmartBERT")
    model = AutoModelForMaskedLM.from_pretrained("web3se/SmartBERT")
  • Notebooks
  • Google Colab
  • Kaggle
SmartBERT
1.54 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
devilyouwei's picture
devilyouwei
initial commit
75bec93 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    24 Bytes
    initial commit over 1 year ago