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
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<|eot_id|>" | |
| } | |