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JSCreatorPro
/
offline-cpu-madlad-400

Translation
Transformers
Safetensors
GGUF
JAX
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use JSCreatorPro/offline-cpu-madlad-400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JSCreatorPro/offline-cpu-madlad-400 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="JSCreatorPro/offline-cpu-madlad-400")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("JSCreatorPro/offline-cpu-madlad-400")
    model = AutoModelForMultimodalLM.from_pretrained("JSCreatorPro/offline-cpu-madlad-400")
  • Notebooks
  • Google Colab
  • Kaggle
offline-cpu-madlad-400
15.7 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mahendransh's picture
mahendransh
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ed454f2 verified about 21 hours ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • generation_config.json
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  • model-q2k.gguf
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  • model-q3k.gguf
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  • model-q4k.gguf
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  • model.safetensors
    11.8 GB
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  • special_tokens_map.json
    414 Bytes
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  • spiece.model
    4.43 MB
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  • tokenizer.json
    16.6 MB
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  • tokenizer_config.json
    830 Bytes
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