MolLM: A Unified Language Model to Integrate Biomedical Text with 2D and 3D Molecular Representations

Model checkpoints for MolLM model.

The checkpoints for each downstream task can be found as follows (along with a summary of the contents of the top-level of each archive):

  • GraphTextRetrieval
    • GraphTextRetrieval-model.zip
      • bert_pretrained
      • all_checkpoints
      • data
      • finetune_save
  • MoleculeCaption
    • MoleculeCaption-model.zip
      • data
      • text2mol-data
      • M3_checkpoints
      • scibert
      • molt5-base-smiles2caption
      • molt5-small-smiles2caption
      • molt5-large-smiles2caption
  • MoleculeEditing
    • MoleculeEditing-model.zip
      • bert_pretrained
      • checkpoints
      • embedding_data
      • model-epoch=507.ckpt
  • MoleculeGeneration
    • MoleculeGeneration-model.zip
      • results
      • model-epoch=465.ckpt
      • qm9_64gnn_128-64lin_1-1mask_0d6noise_convlu1
  • MoleculePrediction
    • MoleculePrediction-model.zip
      • all_checkpoints
      • dataset
      • model-epoch=507.ckpt
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Dataset used to train andrewt28/MolLM