Instructions to use nhungphammmmm/1c5a9f83-0602-4277-b6b7-c92e30634720 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/1c5a9f83-0602-4277-b6b7-c92e30634720 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/1c5a9f83-0602-4277-b6b7-c92e30634720") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1db888a5a1bb4c39a0a2ae78ddc044c529db4bf0ca216c96f8f5b4b6f361731
- Size of remote file:
- 59.9 MB
- SHA256:
- d3afac080e4f7bcff9913eed68d92bdf7613e896a512f024a9abd4c94be608e5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.