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stephenjun8192
/
chemberta-zinc-sparse50

Feature Extraction
Transformers
Safetensors
English
roberta
pharmacore
sparse
drug-discovery
apple-silicon
chemberta
molecular-language-model
cheminformatics
smiles
pruning
efficient-inference
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use stephenjun8192/chemberta-zinc-sparse50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use stephenjun8192/chemberta-zinc-sparse50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="stephenjun8192/chemberta-zinc-sparse50")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("stephenjun8192/chemberta-zinc-sparse50")
    model = AutoModel.from_pretrained("stephenjun8192/chemberta-zinc-sparse50")
  • Notebooks
  • Google Colab
  • Kaggle
chemberta-zinc-sparse50
176 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
stephenjun8192's picture
stephenjun8192
Upload README.md with huggingface_hub
ed19e5d verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    3.07 kB
    Upload README.md with huggingface_hub 2 months ago
  • config.json
    689 Bytes
    Upload chemberta-zinc-sparse50 sparse model from PharmaCore 2 months ago
  • model.safetensors
    176 MB
    xet
    Upload chemberta-zinc-sparse50 sparse model from PharmaCore 2 months ago
  • sparsification_results.json
    1.14 kB
    Upload chemberta-zinc-sparse50 sparse model from PharmaCore 2 months ago
  • tokenizer.json
    38.3 kB
    Upload chemberta-zinc-sparse50 sparse model from PharmaCore 2 months ago
  • tokenizer_config.json
    377 Bytes
    Upload chemberta-zinc-sparse50 sparse model from PharmaCore 2 months ago