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jerteh
/
Jerteh-81

Fill-Mask
Transformers
PyTorch
Safetensors
Serbian
roberta
srpski
Serbian
RoBERTa
BERT
MaskedLM
Model card Files Files and versions
xet
Community
2

Instructions to use jerteh/Jerteh-81 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jerteh/Jerteh-81 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="jerteh/Jerteh-81")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("jerteh/Jerteh-81")
    model = AutoModelForMaskedLM.from_pretrained("jerteh/Jerteh-81")
  • Notebooks
  • Google Colab
  • Kaggle
Jerteh-81
653 MB
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  • 2 contributors
History: 37 commits
procesaur's picture
procesaur
Update README.md
28be70e verified 12 months ago
  • .gitattributes
    1.57 kB
    Rename model.safetensors to model.safetensorsx about 2 years ago
  • README.md
    8.15 kB
    Update README.md 12 months ago
  • config.json
    671 Bytes
    Upload 2 files about 2 years ago
  • cover.png
    431 kB
    Upload cover.png about 2 years ago
  • model.safetensors
    325 MB
    xet
    Adding `safetensors` variant of this model (#2) about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    325 MB
    xet
    Upload 4 files almost 3 years ago
  • tokenizer.json
    2.17 MB
    Upload 2 files about 2 years ago
  • tokenizer_config.json
    25 Bytes
    Upload tokenizer_config.json over 1 year ago