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nikitastheo
/
LTG-BERT-tiny10m-nogen

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

Instructions to use nikitastheo/LTG-BERT-tiny10m-nogen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nikitastheo/LTG-BERT-tiny10m-nogen with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="nikitastheo/LTG-BERT-tiny10m-nogen", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("nikitastheo/LTG-BERT-tiny10m-nogen", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LTG-BERT-tiny10m-nogen
121 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
nikitastheo's picture
nikitastheo
submit
766892a verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    submit over 1 year ago
  • config.json
    861 Bytes
    submit over 1 year ago
  • configuration_ltgbert.py
    5.53 kB
    submit over 1 year ago
  • modeling_ltgbert.py
    36 kB
    submit over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    120 MB
    xet
    submit over 1 year ago
  • special_tokens_map.json
    695 Bytes
    submit over 1 year ago
  • tokenizer.json
    139 kB
    submit over 1 year ago
  • tokenizer_config.json
    1.28 kB
    submit over 1 year ago