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

Feature Extraction
Transformers
Safetensors
molformer
fill-mask
chemistry
custom_code
Model card Files Files and versions
xet
Community
8

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, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MoLFormer-XL-both-10pct
187 MB
Ctrl+K
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  • 3 contributors
History: 2 commits
shoffman's picture
shoffman
Upload pretrained checkpoint and tokenizer files
44a1a31 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    28 Bytes
    initial commit almost 3 years ago
  • config.json
    710 Bytes
    Upload pretrained checkpoint and tokenizer files almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    187 MB
    xet
    Upload pretrained checkpoint and tokenizer files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload pretrained checkpoint and tokenizer files almost 3 years ago
  • tokenizer_config.json
    1.13 kB
    Upload pretrained checkpoint and tokenizer files almost 3 years ago
  • vocab.json
    41.6 kB
    Upload pretrained checkpoint and tokenizer files almost 3 years ago