Instructions to use prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718: direct link, hf CLI and curl.
- Browser
- Download file 205 MB
-
https://huggingface.co/prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718/resolve/main/last-checkpoint/optimizer.pt
205 MB
- Xet hash:
- 28ca72b19c47ad50bd343df702c2fc693741ccd4c95f60bff76f6bac1691c2ee
- Size of remote file:
- 205 MB
- SHA256:
- c97c252adf05cfe98a16d50220383014f3f95c44828c8f0a539a566a1d639ce0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.