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mikemayuare
/
SMILYBPE

Fill-Mask
Transformers
Safetensors
roberta
chemistry
biology
SMILES
life-sciences
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use mikemayuare/SMILYBPE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="mikemayuare/SMILYBPE")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("mikemayuare/SMILYBPE")
    model = AutoModelForMaskedLM.from_pretrained("mikemayuare/SMILYBPE")
  • Notebooks
  • Google Colab
  • Kaggle
SMILYBPE
241 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
mikemayuare's picture
mikemayuare
added paper
b46e917 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    7.83 kB
    added paper about 1 year ago
  • config.json
    738 Bytes
    Upload RobertaForMaskedLM almost 2 years ago
  • model.safetensors
    240 MB
    xet
    Upload RobertaForMaskedLM almost 2 years ago
  • special_tokens_map.json
    692 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    85.4 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.11 kB
    Upload tokenizer almost 2 years ago