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voidful
/
dpr-question_encoder-bert-base-multilingual

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

Instructions to use voidful/dpr-question_encoder-bert-base-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use voidful/dpr-question_encoder-bert-base-multilingual with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="voidful/dpr-question_encoder-bert-base-multilingual")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("voidful/dpr-question_encoder-bert-base-multilingual")
    model = AutoModel.from_pretrained("voidful/dpr-question_encoder-bert-base-multilingual")
  • Notebooks
  • Google Colab
  • Kaggle
dpr-question_encoder-bert-base-multilingual
1.43 GB
Ctrl+K
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  • 2 contributors
History: 4 commits
voidful's picture
voidful
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
c0ea18c about 3 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    2.39 kB
    Create README.md about 5 years ago
  • config.json
    616 Bytes
    init about 5 years ago
  • model.safetensors
    711 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    712 MB
    xet
    init about 5 years ago
  • tokenizer.json
    1.96 MB
    init about 5 years ago
  • tokenizer_config.json
    271 Bytes
    init about 5 years ago
  • vocab.txt
    996 kB
    init about 5 years ago