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transZ
/
BiBERT-ViBa

Feature Extraction
Transformers
PyTorch
Safetensors
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use transZ/BiBERT-ViBa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use transZ/BiBERT-ViBa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="transZ/BiBERT-ViBa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("transZ/BiBERT-ViBa")
    model = AutoModel.from_pretrained("transZ/BiBERT-ViBa")
  • Notebooks
  • Google Colab
  • Kaggle
BiBERT-ViBa
1.08 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
transZ's picture
transZ
Adding `safetensors` variant of this model (#1)
749f758 over 2 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • added_tokens.json
    17 Bytes
    add tokenizer about 4 years ago
  • bpe.codes
    1.14 MB
    add tokenizer about 4 years ago
  • config.json
    739 Bytes
    add model about 4 years ago
  • model.safetensors
    540 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    540 MB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    150 Bytes
    add tokenizer about 4 years ago
  • tokenizer_config.json
    300 Bytes
    add tokenizer about 4 years ago
  • vocab.txt
    895 kB
    add tokenizer about 4 years ago