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deepset
/
gbert-base-germandpr-question_encoder

Feature Extraction
Transformers
PyTorch
Safetensors
German
dpr
exbert
Model card Files Files and versions
xet
Community
1

Instructions to use deepset/gbert-base-germandpr-question_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use deepset/gbert-base-germandpr-question_encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="deepset/gbert-base-germandpr-question_encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("deepset/gbert-base-germandpr-question_encoder")
    model = AutoModel.from_pretrained("deepset/gbert-base-germandpr-question_encoder")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
gbert-base-germandpr-question_encoder
880 MB
Ctrl+K
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  • 4 contributors
History: 7 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
facc08d about 3 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model about 3 years ago
  • README.md
    4 kB
    Update README.md over 4 years ago
  • config.json
    718 Bytes
    Add question encoder model about 5 years ago
  • model.safetensors
    440 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin
    440 MB
    xet
    Add question encoder model about 5 years ago
  • special_tokens_map.json
    112 Bytes
    Add question encoder model about 5 years ago
  • tokenizer_config.json
    327 Bytes
    Add question encoder model about 5 years ago
  • vocab.txt
    240 kB
    Add question encoder model about 5 years ago