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WPS-Qingqiu
/
Qingqiu-MT-9B

Translation
Transformers
Safetensors
multilingual
qwen3_5
image-text-to-text
instruction-following
wmt26
qwen3.5
Model card Files Files and versions
xet
Community

Instructions to use WPS-Qingqiu/Qingqiu-MT-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WPS-Qingqiu/Qingqiu-MT-9B 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="WPS-Qingqiu/Qingqiu-MT-9B")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("WPS-Qingqiu/Qingqiu-MT-9B")
    model = AutoModelForMultimodalLM.from_pretrained("WPS-Qingqiu/Qingqiu-MT-9B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qingqiu-MT-9B
18.8 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
WPS-Qingqiu's picture
WPS-Qingqiu
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  • .gitattributes
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  • LICENSE
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  • README.md
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  • chat_template.jinja
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  • config.json
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  • model-00001-of-00004.safetensors
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  • model-00002-of-00004.safetensors
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  • model-00003-of-00004.safetensors
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  • model-00004-of-00004.safetensors
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  • model.safetensors.index.json
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  • preprocessor_config.json
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  • processor_config.json
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  • tokenizer.json
    20 MB
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  • tokenizer_config.json
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