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jbochi
/
madlad400-10b-mt

Translation
Transformers
Safetensors
GGUF
JAX
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
3

Instructions to use jbochi/madlad400-10b-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jbochi/madlad400-10b-mt 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="jbochi/madlad400-10b-mt")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("jbochi/madlad400-10b-mt")
    model = AutoModelForMultimodalLM.from_pretrained("jbochi/madlad400-10b-mt")
  • Notebooks
  • Google Colab
  • Kaggle
madlad400-10b-mt
42.9 GB
Ctrl+K
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  • 1 contributor
History: 13 commits
jbochi's picture
jbochi
Fix padding token
3f06577 over 2 years ago
  • .gitattributes
    1.57 kB
    initial commit over 2 years ago
  • README.md
    9.27 kB
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  • added_tokens.json
    4 Bytes
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  • config.json
    806 Bytes
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  • generation_config.json
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  • model-00001-of-00009.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • spiece.model
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  • tokenizer.json
    16.6 MB
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  • tokenizer_config.json
    830 Bytes
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