Instructions to use cunghoctienganh/3ed43999-3beb-4330-81b4-8ead0dc69c66 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/3ed43999-3beb-4330-81b4-8ead0dc69c66 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/3ed43999-3beb-4330-81b4-8ead0dc69c66") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37473b95157d9c53165432abe462c4196422e452896a7706ad9a0f18c9ce5d07
- Size of remote file:
- 80.9 MB
- SHA256:
- 9090563146f0adbe94a8c32dc5634e2fade45ff91dbdb92cb72c4e8245ab7752
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.