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projecte-aina
/
Plume128k

Translation
Transformers
Safetensors
gemma
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use projecte-aina/Plume128k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use projecte-aina/Plume128k 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="projecte-aina/Plume128k")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("projecte-aina/Plume128k")
    model = AutoModelForCausalLM.from_pretrained("projecte-aina/Plume128k")
  • Notebooks
  • Google Colab
  • Kaggle
Plume128k
8.98 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 11 commits
mmarimon's picture
mmarimon
Update README.md
b24abbe verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    8.27 kB
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  • config.json
    791 Bytes
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  • generation_config.json
    132 Bytes
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  • model-00001-of-00002.safetensors
    4.88 GB
    xet
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  • model-00002-of-00002.safetensors
    4.1 GB
    xet
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  • model.safetensors.index.json
    13.5 kB
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  • special_tokens_map.json
    279 Bytes
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  • tokenizer.json
    5.69 MB
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  • tokenizer_config.json
    2.58 kB
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