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apu20
/
Llama-3.2-3B-Instruct_Tele

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

Instructions to use apu20/Llama-3.2-3B-Instruct_Tele with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use apu20/Llama-3.2-3B-Instruct_Tele with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="apu20/Llama-3.2-3B-Instruct_Tele")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("apu20/Llama-3.2-3B-Instruct_Tele")
    model = AutoModelForCausalLM.from_pretrained("apu20/Llama-3.2-3B-Instruct_Tele")
  • Notebooks
  • Google Colab
  • Kaggle
Llama-3.2-3B-Instruct_Tele
12.9 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
apu20's picture
apu20
Update README.md
52e6404 verified about 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
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  • config.json
    944 Bytes
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  • generation_config.json
    184 Bytes
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  • model-00001-of-00003.safetensors
    5 GB
    xet
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  • model-00002-of-00003.safetensors
    4.93 GB
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  • model-00003-of-00003.safetensors
    2.92 GB
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  • model.safetensors.index.json
    20.9 kB
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  • special_tokens_map.json
    439 Bytes
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  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    54.6 kB
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