Instructions to use cs552-mlp/phi3-lora-sciq3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cs552-mlp/phi3-lora-sciq3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "cs552-mlp/phi3-lora-sciq3") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-120/optimizer.pt from cs552-mlp/phi3-lora-sciq3: direct link, hf CLI and curl.
- Browser
- Download file 403 MB
-
https://huggingface.co/cs552-mlp/phi3-lora-sciq3/resolve/main/checkpoint-120/optimizer.pt
- Command line
-
hf download hf://cs552-mlp/phi3-lora-sciq3/checkpoint-120/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/cs552-mlp/phi3-lora-sciq3/resolve/main/checkpoint-120/optimizer.pt
403 MB
- Xet hash:
- c980d644836a3c9207c11c7898565caf5f92baaacc482876b86413a287308cb8
- Size of remote file:
- 403 MB
- SHA256:
- 2228c43d8ce0fc2ab5dc88c5cfb402f7c9f85e19a80dd0bdb9c3b5d84fe7105d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.