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SmallDoge
/
Doge-60M-Instruct-SFT

Question Answering
Transformers
Safetensors
English
doge
text-generation
trl
sft
custom_code
Model card Files Files and versions
xet
Community

Instructions to use SmallDoge/Doge-60M-Instruct-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SmallDoge/Doge-60M-Instruct-SFT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="SmallDoge/Doge-60M-Instruct-SFT", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("SmallDoge/Doge-60M-Instruct-SFT", trust_remote_code=True)
    model = AutoModelForCausalLM.from_pretrained("SmallDoge/Doge-60M-Instruct-SFT", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
Doge-60M-Instruct-SFT
112 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 21 commits
JingzeShi's picture
JingzeShi
Update modeling_doge.py
91b3eae verified 9 months ago
  • .gitattributes
    1.56 kB
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  • Doge.png
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  • README.md
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  • config.json
    1.34 kB
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  • configuration_doge.py
    13.9 kB
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  • generation_config.json
    139 Bytes
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  • model.safetensors
    109 MB
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  • modeling_doge.py
    36.3 kB
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  • special_tokens_map.json
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  • tokenizer.json
    2.36 MB
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  • tokenizer_config.json
    56.7 kB
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