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ibm-research
/
MoLFormer-XL-both-10pct

Feature Extraction
Transformers
PyTorch
Safetensors
molformer
fill-mask
chemistry
custom_code
Model card Files Files and versions
xet
Community
6

Instructions to use ibm-research/MoLFormer-XL-both-10pct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ibm-research/MoLFormer-XL-both-10pct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ibm-research/MoLFormer-XL-both-10pct", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("ibm-research/MoLFormer-XL-both-10pct", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Model card issue due to Transformers v5.1.0 changes

#6 opened 4 months ago by
leahros

Full MolFormer-XL availability

#5 opened almost 2 years ago by
ellimilial

Fine-tuning on a set of molecules/SMILES?

#4 opened almost 2 years ago by
khkh2024

Replicating QM9 Benchmark Results

#3 opened about 2 years ago by
maxqv

AttributeError: 'MolformerModel' object has no attribute 'warn_if_padding_and_no_attention_mask'

1
#2 opened about 2 years ago by
pamo77
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