Text Generation
PEFT
Safetensors
English
conversion-rate-optimization
cro
lora
sft
llama3.1
a-b-testing
marketing-ai
conversational
Instructions to use Keak-AI/keak-CRO-llama-3.1-8B-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Keak-AI/keak-CRO-llama-3.1-8B-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Keak-AI/keak-CRO-llama-3.1-8B-instruct") - Notebooks
- Google Colab
- Kaggle
File size: 325 Bytes
19612c0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"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|>"
}
|