Text Generation
PEFT
Safetensors
English
llama
lora
marketing
brand-voice
copywriting
style-transfer
autoscientist
adaption
conversational
Eval Results (legacy)
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
- Xet hash:
- b2afb8c5e933a3d1849e516c9b91aef1b1fe309397a4655c9973fc0c80a998f4
- Size of remote file:
- 65.6 MB
- SHA256:
- d29ea5a3bab3593fa6c88e829e34d042162ceebf52c1741959efa36b5afe619f
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