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ibraheemmoosa
/
xlmindic-rembert-multiscript

Fill-Mask
Transformers
PyTorch
rembert
Model card Files Files and versions
xet
Community
1

Instructions to use ibraheemmoosa/xlmindic-rembert-multiscript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ibraheemmoosa/xlmindic-rembert-multiscript with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="ibraheemmoosa/xlmindic-rembert-multiscript")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("ibraheemmoosa/xlmindic-rembert-multiscript")
    model = AutoModelForMaskedLM.from_pretrained("ibraheemmoosa/xlmindic-rembert-multiscript", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
xlmindic-rembert-multiscript
583 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ibraheemmoosa's picture
ibraheemmoosa
Fix tokenizer
cefdda3 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    28 Bytes
    initial commit over 3 years ago
  • config.json
    695 Bytes
    Model weights and tokenizer over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    578 MB
    xet
    Model weights and tokenizer over 3 years ago
  • special_tokens_map.json
    285 Bytes
    Fix tokenizer over 3 years ago
  • tokenizer.json
    4.55 MB
    Model weights and tokenizer over 3 years ago
  • tokenizer_config.json
    455 Bytes
    Fix tokenizer over 3 years ago