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HPAI-BSC
/
Qwen2.5-Aloe-Beta-7B

Question Answering
Transformers
Safetensors
English
qwen2
text-generation
biology
medical
healthcare
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use HPAI-BSC/Qwen2.5-Aloe-Beta-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HPAI-BSC/Qwen2.5-Aloe-Beta-7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="HPAI-BSC/Qwen2.5-Aloe-Beta-7B", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("HPAI-BSC/Qwen2.5-Aloe-Beta-7B")
    model = AutoModelForCausalLM.from_pretrained("HPAI-BSC/Qwen2.5-Aloe-Beta-7B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen2.5-Aloe-Beta-7B
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  • 2 contributors
History: 24 commits
dariog's picture
dariog
Create Qwen-license
fd81580 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • LICENSE
    19.3 kB
    Update LICENSE 6 months ago
  • Qwen-license
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  • README.md
    21.6 kB
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  • added_tokens.json
    605 Bytes
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  • config.json
    815 Bytes
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  • generation_config.json
    243 Bytes
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  • merges.txt
    1.67 MB
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  • model-00001-of-00004.safetensors
    4.88 GB
    xet
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  • model-00002-of-00004.safetensors
    4.93 GB
    xet
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  • model-00003-of-00004.safetensors
    4.33 GB
    xet
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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
    758 Bytes
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  • tokenizer.json
    7.03 MB
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  • tokenizer_config.json
    7.24 kB
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  • vocab.json
    2.78 MB
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