Instructions to use ProbLLMs/DPO_Checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ProbLLMs/DPO_Checkpoint with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-math-7b-rl") model = PeftModel.from_pretrained(base_model, "ProbLLMs/DPO_Checkpoint") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from ProbLLMs/DPO_Checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 7.88 MB
-
https://huggingface.co/ProbLLMs/DPO_Checkpoint/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://ProbLLMs/DPO_Checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ProbLLMs/DPO_Checkpoint/resolve/main/adapter_model.safetensors
7.88 MB
- Xet hash:
- efe4bf6921cdfdb6e1aa3d54b6fdaffd3037086b1cb55e1abee5eba59d57e256
- Size of remote file:
- 7.88 MB
- SHA256:
- d1e936eb19c2f0d30bf2c6b8fe80be226b6584c488430c7c177f0ecf95d048b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.