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RAY2L
/
pythia-410m-deduped-SimPOW-2

Feature Extraction
Transformers
Safetensors
gpt_neox
Model card Files Files and versions
xet
Community

Instructions to use RAY2L/pythia-410m-deduped-SimPOW-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RAY2L/pythia-410m-deduped-SimPOW-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="RAY2L/pythia-410m-deduped-SimPOW-2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("RAY2L/pythia-410m-deduped-SimPOW-2")
    model = AutoModel.from_pretrained("RAY2L/pythia-410m-deduped-SimPOW-2")
  • Notebooks
  • Google Colab
  • Kaggle
pythia-410m-deduped-SimPOW-2
1.42 GB
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  • 1 contributor
History: 3 commits
RAY2L's picture
RAY2L
Upload tokenizer
7d3f9e2 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
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  • config.json
    747 Bytes
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  • model.safetensors
    1.42 GB
    xet
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  • special_tokens_map.json
    587 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    4.82 kB
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