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Milanmg
/
xlm-roberta-large

Fill-Mask
Transformers
PyTorch
JAX
xlm-roberta
Model card Files Files and versions
xet
Community
1

Instructions to use Milanmg/xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Milanmg/xlm-roberta-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Milanmg/xlm-roberta-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Milanmg/xlm-roberta-large")
    model = AutoModelForMaskedLM.from_pretrained("Milanmg/xlm-roberta-large")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-large
4.49 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Milanmg's picture
Milanmg
Update config.json
8135133 about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • config.json
    647 Bytes
    Update config.json about 4 years ago
  • flax_model.msgpack
    2.24 GB
    xet
    Upload flax_model.msgpack with git-lfs about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.24 GB
    xet
    Upload pytorch_model.bin with git-lfs about 4 years ago