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

Vageesh1
/
smart_contract_bc_succ

Text Classification
Transformers
PyTorch
TensorBoard
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Vageesh1/smart_contract_bc_succ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Vageesh1/smart_contract_bc_succ with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Vageesh1/smart_contract_bc_succ")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Vageesh1/smart_contract_bc_succ")
    model = AutoModelForSequenceClassification.from_pretrained("Vageesh1/smart_contract_bc_succ")
  • Notebooks
  • Google Colab
  • Kaggle
smart_contract_bc_succ / runs
33.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Vageesh1's picture
Vageesh1
Training in progress, epoch 2
c8abd0e almost 3 years ago
  • Aug08_08-23-46_314df8cba423
    Training in progress, epoch 1 almost 3 years ago
  • Aug08_08-47-46_134c75a43d1d
    Training in progress, epoch 1 almost 3 years ago
  • Aug08_08-57-53_134c75a43d1d
    Training in progress, epoch 2 almost 3 years ago