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Derify
/
ModChemBERT-IR-BASE

Fill-Mask
Transformers
Safetensors
modchembert
modernbert
ModChemBERT
cheminformatics
chemical-language-model
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Derify/ModChemBERT-IR-BASE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Derify/ModChemBERT-IR-BASE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Derify/ModChemBERT-IR-BASE", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("Derify/ModChemBERT-IR-BASE", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ModChemBERT-IR-BASE
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  • 1 contributor
History: 6 commits
eacortes's picture
eacortes
Update README.md
b22e220 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    6.13 kB
    Update README.md 5 months ago
  • config.json
    1.62 kB
    Upload 8 files 7 months ago
  • configuration_modchembert.py
    5.24 kB
    feat: add mean_seq_mha pooling option 6 months ago
  • model.safetensors
    399 MB
    xet
    Upload 8 files 7 months ago
  • modeling_modchembert.py
    35.2 kB
    feat: add mean_seq_mha pooling option 6 months ago
  • special_tokens_map.json
    694 Bytes
    Upload 8 files 7 months ago
  • tokenizer.json
    54.2 kB
    Upload 8 files 7 months ago
  • tokenizer_config.json
    1.21 kB
    Upload 8 files 7 months ago