Instructions to use stewy33/Qwen2.5-32B-Instruct-0524_original_augmented_original_honeypot_ignore_comment-9fb80828 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stewy33/Qwen2.5-32B-Instruct-0524_original_augmented_original_honeypot_ignore_comment-9fb80828 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "stewy33/Qwen2.5-32B-Instruct-0524_original_augmented_original_honeypot_ignore_comment-9fb80828") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9748ef3a5a3c70916960406b01e1a76d7e0935678b4fde6957b5ff1d8f52c7c
- Size of remote file:
- 7.03 MB
- SHA256:
- a8506e7111b80c6d8635951a02eab0f4e1a8e4e5772da83846579e97b16f61bf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.