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riccorl
/
blink-bert-large

Feature Extraction
Transformers
PyTorch
Safetensors
English
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use riccorl/blink-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use riccorl/blink-bert-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="riccorl/blink-bert-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("riccorl/blink-bert-large")
    model = AutoModel.from_pretrained("riccorl/blink-bert-large")
  • Notebooks
  • Google Colab
  • Kaggle
blink-bert-large
2.68 GB
Ctrl+K
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  • 2 contributors
History: 5 commits
riccorl's picture
riccorl
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
65aaaf2 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    180 Bytes
    Update README.md about 3 years ago
  • config.json
    660 Bytes
    Automatic push from sapienzanlp about 3 years ago
  • model.safetensors
    1.34 GB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    1.34 GB
    xet
    Automatic push from sapienzanlp about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Automatic push from sapienzanlp about 3 years ago
  • tokenizer.json
    711 kB
    Automatic push from sapienzanlp about 3 years ago
  • tokenizer_config.json
    309 Bytes
    Automatic push from sapienzanlp about 3 years ago
  • vocab.txt
    232 kB
    Automatic push from sapienzanlp about 3 years ago