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DedsecurityAI
/
DPTb

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

Instructions to use DedsecurityAI/DPTb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DedsecurityAI/DPTb with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DedsecurityAI/DPTb")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("DedsecurityAI/DPTb")
    model = AutoModel.from_pretrained("DedsecurityAI/DPTb")
  • Notebooks
  • Google Colab
  • Kaggle
DPTb
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  • 1 contributor
History: 8 commits
dedsecurity's picture
dedsecurity
Create pytorch_model.bin.index.json
e0853a0 over 3 years ago
  • .gitattributes
    1.53 kB
    Upload tokenizer.json over 3 years ago
  • README.md
    21 Bytes
    initial commit over 3 years ago
  • config.json
    568 Bytes
    Create config.json over 3 years ago
  • model.safetensors.index.json
    63.7 kB
    Create model.safetensors.index.json over 3 years ago
  • pytorch_model.bin.index.json
    63.7 kB
    Create pytorch_model.bin.index.json over 3 years ago
  • pytorch_model_00001-of-00072.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.BFloat16Storage"

    What is a pickle import?

    7.19 GB
    xet
    Upload pytorch_model_00001-of-00072.bin over 3 years ago
  • special_tokens_map.json
    86 Bytes
    Create special_tokens_map.json over 3 years ago
  • tokenizer.json
    14.5 MB
    xet
    Upload tokenizer.json over 3 years ago
  • tokenizer_config.json
    221 Bytes
    Create tokenizer_config.json over 3 years ago