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miguelcsx
/
prism-control

Fill-Mask
Transformers
Safetensors
English
tolm
babylm
strict-small
research-release
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use miguelcsx/prism-control with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="miguelcsx/prism-control", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("miguelcsx/prism-control", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
prism-control
135 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
miguelcsx's picture
miguelcsx
select chck_100M
4d90c95 verified 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 5 days ago
  • README.md
    877 Bytes
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  • config.json
    1.27 kB
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  • model.safetensors
    133 MB
    xet
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  • release_manifest.json
    1.04 kB
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  • special_tokens_map.json
    122 Bytes
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  • tokenizer.json
    1.14 MB
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  • tokenizer_config.json
    197 Bytes
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  • tolm.py
    35.9 kB
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  • training_manifest.json
    6.04 kB
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