Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

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 / assets
912 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
thegovind's picture
thegovind
Card: architecture, post-training and readout diagrams
2751bf4 verified 6 days ago
  • blink-4b-network.png
    336 kB
    xet
    Card: architecture, post-training and readout diagrams 6 days ago
  • blink-4b-post-training.png
    366 kB
    xet
    Card: architecture, post-training and readout diagrams 6 days ago
  • blink-4b-readout.png
    211 kB
    xet
    Card: architecture, post-training and readout diagrams 6 days ago