Instructions to use Milian/TempDPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Milian/TempDPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/root/autodl-tmp/model/qzqwork/TempSFTPrivate") model = PeftModel.from_pretrained(base_model, "Milian/TempDPO") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Milian/TempDPO: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/Milian/TempDPO/resolve/main/optimizer.pt
- Command line
-
hf download hf://Milian/TempDPO/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Milian/TempDPO/resolve/main/optimizer.pt
1.11 GB
- Xet hash:
- f290c64c5344292ee41950fbf0080f46ff2c1ddebbfda446eb462039c4fe0681
- Size of remote file:
- 1.11 GB
- SHA256:
- 4f2cda358b6892b223d3eed4b9b906a7488ec2bd9099c22f00d33c76f2a39916
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