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mohammadmahdinouri
/
albert-checkpoints

Fill-Mask
Transformers
PyTorch
albert
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use mohammadmahdinouri/albert-checkpoints with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="mohammadmahdinouri/albert-checkpoints")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("mohammadmahdinouri/albert-checkpoints")
    model = AutoModelForMaskedLM.from_pretrained("mohammadmahdinouri/albert-checkpoints")
  • Notebooks
  • Google Colab
  • Kaggle
albert-checkpoints
827 MB
Ctrl+K
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  • 1 contributor
History: 43 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
0b9094d verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    5.17 kB
    Upload AlbertForMaskedLM 12 months ago
  • config.json
    870 Bytes
    Upload AlbertForMaskedLM 12 months ago
  • generation_config.json
    132 Bytes
    Upload AlbertForMaskedLM 12 months ago
  • model.safetensors
    414 MB
    xet
    Adding `safetensors` variant of this model 12 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    414 MB
    xet
    Upload AlbertForMaskedLM 12 months ago