Instructions to use ravan18/Code-Buddy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ravan18/Code-Buddy with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-instruct") model = PeftModel.from_pretrained(base_model, "ravan18/Code-Buddy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81cc735f77b96bd5b6d226e3c04586548bf14b8d64476a02634cf6ae43b20b2a
- Size of remote file:
- 146 MB
- SHA256:
- 83ded2fc0c09f474ca168cc582074e94c569ab575652fd9983006895f3075302
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.