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SaeedLab
/
MolDeBERTa-tiny-10M-contrastive_mlc

Feature Extraction
Transformers
Safetensors
deberta-v2
chemistry
bioinformatics
drug-discovery
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use SaeedLab/MolDeBERTa-tiny-10M-contrastive_mlc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SaeedLab/MolDeBERTa-tiny-10M-contrastive_mlc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SaeedLab/MolDeBERTa-tiny-10M-contrastive_mlc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("SaeedLab/MolDeBERTa-tiny-10M-contrastive_mlc")
    model = AutoModel.from_pretrained("SaeedLab/MolDeBERTa-tiny-10M-contrastive_mlc")
  • Notebooks
  • Google Colab
  • Kaggle
MolDeBERTa-tiny-10M-contrastive_mlc
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  • 1 contributor
History: 4 commits
gabrielbianchin's picture
gabrielbianchin
Update README.md
9ef90d8 verified 17 days ago
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  • added_tokens.json
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  • config.json
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  • model.safetensors
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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