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BrCamp
/
bee-350m-pt-assistente

Text Generation
PEFT
Safetensors
Portuguese
function-calling
tool-use
portuguese
lora
conversational
Model card Files Files and versions
xet
Community

Instructions to use BrCamp/bee-350m-pt-assistente with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use BrCamp/bee-350m-pt-assistente with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("BrCamp/bee-350m-pt-base")
    model = PeftModel.from_pretrained(base_model, "BrCamp/bee-350m-pt-assistente")
  • Notebooks
  • Google Colab
  • Kaggle
bee-350m-pt-assistente
148 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 27 commits
BrCamp's picture
BrCamp
Upload README.md with huggingface_hub
00c1ba6 verified about 2 months ago
  • seed-42
    Upload seed-42/training_args.json with huggingface_hub about 2 months ago
  • seed-43
    Upload seed-43/training_args.json with huggingface_hub about 2 months ago
  • seed-44
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  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    10.3 kB
    Upload README.md with huggingface_hub about 2 months ago
  • adapter_config.json
    1.15 kB
    Upload adapter_config.json with huggingface_hub about 2 months ago
  • adapter_model.safetensors
    34.8 MB
    xet
    Upload adapter_model.safetensors with huggingface_hub about 2 months ago
  • chat_template.jinja
    174 Bytes
    Upload chat_template.jinja with huggingface_hub about 2 months ago
  • tokenizer.json
    2.31 MB
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  • tokenizer_config.json
    373 Bytes
    Upload tokenizer_config.json with huggingface_hub about 2 months ago
  • training_args.json
    505 Bytes
    Upload training_args.json with huggingface_hub about 2 months ago