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thegovind
/
blink-4b

Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
decision-model
typed-decisions
one-pass
option-probabilities
Model card Files Files and versions
xet
Community

Instructions to use thegovind/blink-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thegovind/blink-4b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="thegovind/blink-4b")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("thegovind/blink-4b")
    model = AutoModelForCausalLM.from_pretrained("thegovind/blink-4b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
blink-4b / eval
71.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
thegovind's picture
thegovind
Card: local Decision Index 0.2 run (descriptive; known training exposure not penalized) and its evidence file
bdbdcf2 verified 5 days ago
  • decision-index-0.1-full.json
    20.5 kB
    blink v1.0 7 days ago
  • decision-index-0.1-minus-dis.json
    20.5 kB
    blink v1.0 7 days ago
  • decision-index-0.2-local.json
    29.8 kB
    Card: local Decision Index 0.2 run (descriptive; known training exposure not penalized) and its evidence file 5 days ago
  • jevbench-public-proxy.json
    776 Bytes
    blink v1.0 7 days ago