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ibm-research
/
materials.selfies-ted

Feature Extraction
Transformers
PyTorch
Safetensors
bart
text2text-generation
chemistry
Model card Files Files and versions
xet
Community
1

Instructions to use ibm-research/materials.selfies-ted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ibm-research/materials.selfies-ted with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ibm-research/materials.selfies-ted")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ibm-research/materials.selfies-ted")
    model = AutoModelForSeq2SeqLM.from_pretrained("ibm-research/materials.selfies-ted", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
materials.selfies-ted
5.73 GB
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  • 3 contributors
History: 15 commits
Ipd's picture
Ipd
Update README.md
55e8339 verified about 1 year ago
  • .idea
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  • .DS_Store
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  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • model.safetensors
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  • optimizer.pt
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  • pytorch_model.bin
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  • scheduler.pt
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  • selfies-ted.png
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • trainer_state.json
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  • training_args.bin
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