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wmt24-cuni
/
CUNI-MH

Translation
Transformers
Safetensors
Czech
English
mistral
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use wmt24-cuni/CUNI-MH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wmt24-cuni/CUNI-MH 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="wmt24-cuni/CUNI-MH")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("wmt24-cuni/CUNI-MH")
    model = AutoModelForCausalLM.from_pretrained("wmt24-cuni/CUNI-MH")
  • Notebooks
  • Google Colab
  • Kaggle

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  • tokenizer.json
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