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te-sla
/
sum600

Summarization
Transformers
Safetensors
qwen3
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use te-sla/sum600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use te-sla/sum600 with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="te-sla/sum600")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("te-sla/sum600")
    model = AutoModelForCausalLM.from_pretrained("te-sla/sum600")
  • Notebooks
  • Google Colab
  • Kaggle
sum600
2.4 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
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procesaur
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