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manifesta
/
brandvoice-marketing-model

Text Generation
PEFT
Safetensors
English
llama
lora
marketing
brand-voice
copywriting
style-transfer
autoscientist
adaption
conversational
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use manifesta/brandvoice-marketing-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use manifesta/brandvoice-marketing-model with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Meta-Llama-3.3-70B-Instruct-Reference")
    model = PeftModel.from_pretrained(base_model, "manifesta/brandvoice-marketing-model")
  • Notebooks
  • Google Colab
  • Kaggle
brandvoice-marketing-model
82.9 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
manifesta's picture
manifesta
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  • assets
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  • .gitattributes
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  • README.md
    9.55 kB
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  • adapter_config.json
    805 Bytes
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  • adapter_model.safetensors
    65.6 MB
    xet
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  • chat_template.jinja
    4.61 kB
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  • config.json
    890 Bytes
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  • special_tokens_map.json
    325 Bytes
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  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    50.6 kB
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  • trainer_state.json
    6.38 kB
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