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Sara121
/
Ornith-1.0-9B-Engineering

Question Answering
Transformers
Safetensors
qwen3_5_text
text-generation
ornith
engineering
Model card Files Files and versions
xet
Community

Instructions to use Sara121/Ornith-1.0-9B-Engineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sara121/Ornith-1.0-9B-Engineering with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "question-answering" 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("question-answering", model="Sara121/Ornith-1.0-9B-Engineering")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Sara121/Ornith-1.0-9B-Engineering")
    model = AutoModelForCausalLM.from_pretrained("Sara121/Ornith-1.0-9B-Engineering", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Ornith-1.0-9B-Engineering
17.9 GB
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  • 1 contributor
History: 2 commits
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Sara121
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  • eval
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  • .gitattributes
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  • README.md
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  • chat_template.jinja
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  • config.json
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  • generation_config.json
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  • merge_metadata.json
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  • model-00001-of-00005.safetensors
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  • model-00002-of-00005.safetensors
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  • model-00005-of-00005.safetensors
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  • model.safetensors.index.json
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  • tokenizer.json
    20 MB
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  • tokenizer_config.json
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