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Mehdi-Zogh
/
MNLP_M2_dpo_model

Question Answering
Transformers
Safetensors
English
qwen3
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Mehdi-Zogh/MNLP_M2_dpo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mehdi-Zogh/MNLP_M2_dpo_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Mehdi-Zogh/MNLP_M2_dpo_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Mehdi-Zogh/MNLP_M2_dpo_model")
    model = AutoModelForCausalLM.from_pretrained("Mehdi-Zogh/MNLP_M2_dpo_model")
  • Notebooks
  • Google Colab
  • Kaggle
MNLP_M2_dpo_model
2.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Mehdi-Zogh's picture
Mehdi-Zogh
doc: update the usage code snippet
641ddc5 verified 12 months ago
  • .gitattributes
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  • README.md
    4.85 kB
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  • added_tokens.json
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  • chat_template.jinja
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • model.safetensors
    2.38 GB
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  • special_tokens_map.json
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.41 kB
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  • vocab.json
    2.78 MB
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