Instructions to use 0xfaskety/task-1-microsoft-Phi-3-mini-4k-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0xfaskety/task-1-microsoft-Phi-3-mini-4k-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B") model = PeftModel.from_pretrained(base_model, "0xfaskety/task-1-microsoft-Phi-3-mini-4k-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9295a4d9a2d46e6456856f145dc80c967ea4bc6ceac77b626344cacab5c5c46d
- Size of remote file:
- 5.43 kB
- SHA256:
- 5c9193c8b0cdf1cc71f0c41fa869dc03bae048f854a526111718806e824b0ebe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.