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kazzand
/
ru-longformer-base-4096

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

Instructions to use kazzand/ru-longformer-base-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kazzand/ru-longformer-base-4096 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="kazzand/ru-longformer-base-4096")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("kazzand/ru-longformer-base-4096")
    model = AutoModelForMaskedLM.from_pretrained("kazzand/ru-longformer-base-4096")
  • Notebooks
  • Google Colab
  • Kaggle
ru-longformer-base-4096
601 MB
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  • 2 contributors
History: 4 commits
kazzand's picture
kazzand
Update README.md
a54ae14 about 3 years ago
  • .gitattributes
    1.57 kB
    base model about 3 years ago
  • README.md
    1.53 kB
    Update README.md about 3 years ago
  • config.json
    877 Bytes
    base model about 3 years ago
  • merges.txt
    1.34 MB
    base model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    594 MB
    xet
    base model about 3 years ago
  • special_tokens_map.json
    280 Bytes
    base model about 3 years ago
  • tokenizer.json
    3.88 MB
    base model about 3 years ago
  • tokenizer_config.json
    1.36 kB
    base model about 3 years ago
  • vocab.json
    1.68 MB
    base model about 3 years ago