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cabrooks
/
LOGION-base

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
4

Instructions to use cabrooks/LOGION-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cabrooks/LOGION-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="cabrooks/LOGION-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("cabrooks/LOGION-base")
    model = AutoModelForMaskedLM.from_pretrained("cabrooks/LOGION-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LOGION-base
1.36 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
cabrooks's picture
cabrooks
Update README.md
6cad5f2 verified over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    2.18 kB
    Update README.md over 2 years ago
  • config.json
    755 Bytes
    Upload 7 files about 3 years ago
  • optimizer.pt
    904 MB
    xet
    Upload 7 files about 3 years ago
  • pytorch_model.bin
    452 MB
    xet
    Upload 7 files about 3 years ago
  • rng_state.pth
    15.5 kB
    xet
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  • scheduler.pt
    623 Bytes
    xet
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  • tokenizer.json
    800 kB
    Upload 2 files about 3 years ago
  • tokenizer_config.json
    506 Bytes
    Upload 2 files about 3 years ago
  • trainer_state.json
    91.1 kB
    Upload 7 files about 3 years ago
  • training_args.bin
    3.06 kB
    xet
    Upload 7 files about 3 years ago
  • vocab.txt
    530 kB
    Upload vocab.txt about 3 years ago