Instructions to use ErrorAI/62bb75f7-3201-4a1b-b7e0-d4511b5b8c11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/62bb75f7-3201-4a1b-b7e0-d4511b5b8c11 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-13b-v1.5") model = PeftModel.from_pretrained(base_model, "ErrorAI/62bb75f7-3201-4a1b-b7e0-d4511b5b8c11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb627335300a9c5a0eb55bdd9b0f4ecddff460b325e93510d8bba7222f8882e9
- Size of remote file:
- 6.78 kB
- SHA256:
- 3f416bed7fc70e5827a9db800fc824a4a969ed6c9f56be95b1fd28acb6688dd7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.