Instructions to use ybashir/buddy-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ybashir/buddy-chat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B") model = PeftModel.from_pretrained(base_model, "ybashir/buddy-chat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bac2fa4ee83d109f279befa145abe1d41fa18116ea2587c391acc33b99ce006
- Size of remote file:
- 11.4 MB
- SHA256:
- 76ed1e100523d2beec2b7e6cb1219a61c4693faf77e8ac3620d3d1b757b7a25e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.