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Jacaranda
/
UlizaLlama3

Question Answering
Transformers
Safetensors
Swahili
English
llama
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
9

Instructions to use Jacaranda/UlizaLlama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jacaranda/UlizaLlama3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Jacaranda/UlizaLlama3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Jacaranda/UlizaLlama3")
    model = AutoModelForCausalLM.from_pretrained("Jacaranda/UlizaLlama3")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • model-00001-of-00004.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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