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albert
/
albert-xxlarge-v1

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
English
albert
Model card Files Files and versions
xet
Community
4

Instructions to use albert/albert-xxlarge-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use albert/albert-xxlarge-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="albert/albert-xxlarge-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("albert/albert-xxlarge-v1")
    model = AutoModelForMaskedLM.from_pretrained("albert/albert-xxlarge-v1")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
albert-xxlarge-v1
3.6 GB
Ctrl+K
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  • 2 contributors
History: 14 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
5eaef1f almost 3 years ago
  • .gitattributes
    399 Bytes
    Adding `safetensors` variant of this model almost 3 years ago
  • README.md
    9.83 kB
    XLarge -> XXLarge over 5 years ago
  • config.json
    706 Bytes
    Update config.json about 6 years ago
  • model.safetensors
    893 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    893 MB
    xet
    Update pytorch_model.bin about 6 years ago
  • spiece.model
    760 kB
    Update spiece.model about 6 years ago
  • tf_model.h5
    908 MB
    xet
    Update tf_model.h5 almost 6 years ago
  • tokenizer.json
    1.31 MB
    Update tokenizer.json over 5 years ago
  • with-prefix-tf_model.h5
    908 MB
    xet
    Update with-prefix-tf_model.h5 over 6 years ago