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mohammadmahdinouri
/
moa-checkpoints

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

Instructions to use mohammadmahdinouri/moa-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mohammadmahdinouri/moa-checkpoints with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="mohammadmahdinouri/moa-checkpoints")
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("mohammadmahdinouri/moa-checkpoints", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
moa-checkpoints
135 MB
Ctrl+K
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  • 1 contributor
History: 31 commits
mohammadmahdinouri's picture
mohammadmahdinouri
Upload ModernALBERTForMaskedLM
ce1db89 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.17 kB
    Upload ModernALBERTForMaskedLM 9 months ago
  • config.json
    773 Bytes
    Upload ModernALBERTForMaskedLM 9 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.BFloat16Storage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    135 MB
    xet
    Upload ModernALBERTForMaskedLM 9 months ago