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real-jiakai
/
DeepSeek-R1-Distill-Qwen-7B-News-Classifier

Text Classification
Transformers
Safetensors
qwen2
text-generation
llama-factory
lora
news-classification
chinese
deepseek-r1
qwen
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier")
    model = AutoModelForCausalLM.from_pretrained("real-jiakai/DeepSeek-R1-Distill-Qwen-7B-News-Classifier")
  • Notebooks
  • Google Colab
  • Kaggle
DeepSeek-R1-Distill-Qwen-7B-News-Classifier
15.2 GB
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  • 1 contributor
History: 5 commits
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real-jiakai
Update README.md
428fe0f verified about 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
    802 Bytes
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  • generation_config.json
    181 Bytes
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  • model-00001-of-00004.safetensors
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  • model-00002-of-00004.safetensors
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  • model-00003-of-00004.safetensors
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  • model-00004-of-00004.safetensors
    1.09 GB
    xet
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  • model.safetensors.index.json
    27.8 kB
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  • special_tokens_map.json
    485 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    6.83 kB
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