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lyf07
/
Qwen3-8B-WALAR

Translation
Transformers
Safetensors
qwen3
text-generation
multilingual
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use lyf07/Qwen3-8B-WALAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lyf07/Qwen3-8B-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/Qwen3-8B-WALAR")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("lyf07/Qwen3-8B-WALAR")
    model = AutoModelForCausalLM.from_pretrained("lyf07/Qwen3-8B-WALAR", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-8B-WALAR
16.4 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 7 commits
lyf07's picture
lyf07
nielsr's picture
nielsr HF Staff
Add library_name and pipeline_tag to metadata (#1)
7e68989 5 months ago
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  • .gitattributes
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  • README.md
    4.27 kB
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  • added_tokens.json
    707 Bytes
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  • chat_template.jinja
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • model-00001-of-00004.safetensors
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  • model-00002-of-00004.safetensors
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    xet
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  • model-00003-of-00004.safetensors
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    xet
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  • model-00004-of-00004.safetensors
    1.58 GB
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  • model.safetensors.index.json
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    5.4 kB
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  • vocab.json
    2.78 MB
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