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Thalesian
/
AKK_300m

Translation
Transformers
Safetensors
Akkadian
English
umt5
text2text-generation
multilingual
ancient-languages
akkadian
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Thalesian/AKK_300m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Thalesian/AKK_300m 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="Thalesian/AKK_300m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Thalesian/AKK_300m")
    model = AutoModelForSeq2SeqLM.from_pretrained("Thalesian/AKK_300m")
  • Notebooks
  • Google Colab
  • Kaggle
AKK_300m
1.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Thalesian's picture
Thalesian
Update README.md
c0b01bf verified 6 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    7.27 kB
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  • added_tokens.json
    14.2 kB
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  • config.json
    834 Bytes
    Upload UMT5ForConditionalGeneration 6 months ago
  • generation_config.json
    167 Bytes
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  • model.safetensors
    1.23 GB
    xet
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  • special_tokens_map.json
    7.08 kB
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  • spiece.model
    4.55 MB
    xet
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  • tokenizer.json
    17 MB
    xet
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  • tokenizer_config.json
    197 kB
    Upload tokenizer 6 months ago