Instructions to use nhung03/8f38090c-3dd9-4b9b-b770-20550115f807 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/8f38090c-3dd9-4b9b-b770-20550115f807 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "nhung03/8f38090c-3dd9-4b9b-b770-20550115f807") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d17f2669581cb929a6852b0c3be59a0dd20fbe972566980fcbb7642463cfe0f
- Size of remote file:
- 138 MB
- SHA256:
- 843ce40e3febcbc6e1871c7a537bac69b5a71f70b27c1e9613ff38b574e5b7ca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.