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lyf07
/
LLaMAX3-8B-Alpaca-WALAR

Translation
Transformers
Safetensors
llama
text-generation
multilingual
machine-translation
reinforcement-learning
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use lyf07/LLaMAX3-8B-Alpaca-WALAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lyf07/LLaMAX3-8B-Alpaca-WALAR with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" 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("translation", model="lyf07/LLaMAX3-8B-Alpaca-WALAR")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("lyf07/LLaMAX3-8B-Alpaca-WALAR")
    model = AutoModelForCausalLM.from_pretrained("lyf07/LLaMAX3-8B-Alpaca-WALAR")
  • Notebooks
  • Google Colab
  • Kaggle
LLaMAX3-8B-Alpaca-WALAR / fig
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  • 3 contributors
History: 3 commits
lyf07
upload figs
7973066 3 months ago
  • .DS_Store
    6.15 kB
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  • .gitattributes
    88 Bytes
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  • generalization_xcomet.png
    48.5 kB
    xet
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  • lang_consistency.png
    146 kB
    xet
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  • main_tab.png
    261 kB
    xet
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  • walar.png
    368 kB
    xet
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