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miguelcsx
/
factorized-natural-dense

Fill-Mask
Transformers
Safetensors
English
tolm
babylm
strict-small
masked-language-modeling
factorized
ltg-bert
custom_code
Model card Files Files and versions
xet
Community

Instructions to use miguelcsx/factorized-natural-dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use miguelcsx/factorized-natural-dense with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="miguelcsx/factorized-natural-dense", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("miguelcsx/factorized-natural-dense", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
factorized-natural-dense
135 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
miguelcsx's picture
miguelcsx
docs: add FACTORIZED Natural Dense model card
7dcbe2e verified 7 days ago
  • .complete.json
    819 Bytes
    main chck_100M 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • README.md
    2.68 kB
    docs: add FACTORIZED Natural Dense model card 7 days ago
  • config.json
    1.44 kB
    main chck_88M 8 days ago
  • factor_readout.safetensors
    885 kB
    xet
    main chck_88M 8 days ago
  • model.safetensors
    133 MB
    xet
    main chck_100M 8 days ago
  • special_tokens_map.json
    122 Bytes
    main chck_88M 8 days ago
  • tokenizer.json
    1.13 MB
    main chck_88M 8 days ago
  • tokenizer_config.json
    197 Bytes
    main chck_88M 8 days ago
  • tolm.py
    35.9 kB
    main chck_88M 8 days ago
  • training_manifest.json
    9.12 kB
    main chck_100M 8 days ago