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

entropy
/
roberta_zinc_enamine_decomposer

Feature Extraction
Transformers
Safetensors
embedding_decomposer
chemistry
molecule
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use entropy/roberta_zinc_enamine_decomposer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="entropy/roberta_zinc_enamine_decomposer", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("entropy/roberta_zinc_enamine_decomposer", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta_zinc_enamine_decomposer
292 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
entropy's picture
entropy
Update README.md
a077dc3 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.87 kB
    Update README.md about 1 year ago
  • config.json
    800 Bytes
    Upload model about 1 year ago
  • configuration_decomposer.py
    3.06 kB
    Upload model about 1 year ago
  • model.safetensors
    292 MB
    xet
    Upload model about 1 year ago
  • modeling_decomposer.py
    15.8 kB
    Upload model about 1 year ago