Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • 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

Jeetu456
/
decider-2b

Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
decider
systemone
jev
decision-model
qwen3.5
post-train
text-to-typed-output
structured-output
classification
tool-calling
routing
moderation
custom-code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Jeetu456/decider-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jeetu456/decider-2b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Jeetu456/decider-2b")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Jeetu456/decider-2b")
    model = AutoModelForCausalLM.from_pretrained("Jeetu456/decider-2b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
decider-2b / examples
13.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Jeetu456's picture
Jeetu456
Decider 2B
cd02163 17 days ago
  • decider_cli.py
    5.05 kB
    Decider 2B 17 days ago
  • decider_quickstart.ipynb
    8.34 kB
    Decider 2B 17 days ago