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secilozksen
/
dpr_basecamp

Feature Extraction
Transformers
PyTorch
dpr
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use secilozksen/dpr_basecamp with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="secilozksen/dpr_basecamp", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("secilozksen/dpr_basecamp", trust_remote_code=True)
    model = AutoModel.from_pretrained("secilozksen/dpr_basecamp", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
dpr_basecamp
1.74 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
f0ce00c verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    349 Bytes
    Upload model over 3 years ago
  • configuration_dpr.py
    176 Bytes
    Upload model over 3 years ago
  • model.safetensors
    871 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • modeling_dpr.py
    2.97 kB
    Upload model over 3 years ago
  • pytorch_model.bin
    871 MB
    xet
    Upload model over 3 years ago