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jeff-legacy
/
Jeff-Qwen3.5-0.8B

Zero-Shot Classification
Transformers
Safetensors
English
qwen3_5
feature-extraction
decision-model
calibration
system-1
local
Eval Results
Model card Files Files and versions
xet
Community
3

Instructions to use jeff-legacy/Jeff-Qwen3.5-0.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jeff-legacy/Jeff-Qwen3.5-0.8B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="jeff-legacy/Jeff-Qwen3.5-0.8B")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("jeff-legacy/Jeff-Qwen3.5-0.8B")
    model = AutoModel.from_pretrained("jeff-legacy/Jeff-Qwen3.5-0.8B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add Typed Decisions benchmark results

#3 opened 10 days ago by
codelion

Add Typed Decisions benchmark results

#2 opened 11 days ago by
SaylorTwift

Demo for this model on Spaces

2
#1 opened 13 days ago by
multimodalart
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