Instructions to use baffo32/llama7bqlora-asciiart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baffo32/llama7bqlora-asciiart with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("camelids/llama-7b-fp16-safetensors") model = PeftModel.from_pretrained(base_model, "baffo32/llama7bqlora-asciiart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb6741a46d6531db966dd11060d792fdfedfad6fa395fe197cbf5c97c80e9597
- Size of remote file:
- 16.8 MB
- SHA256:
- 01cbfa283ee06ceab55917bd4e8af11ab30a3f835b4237aa077b14f99cfff4bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.