Instructions to use SALT-NLP/CultureBank-Mixtral-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SALT-NLP/CultureBank-Mixtral-DPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/sphinx/u/culturebank/models/checkpoints/mixtral_cultural/sft_train_v0/final_merged_checkpoint") model = PeftModel.from_pretrained(base_model, "SALT-NLP/CultureBank-Mixtral-DPO") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from SALT-NLP/CultureBank-Mixtral-DPO: direct link, hf CLI and curl.
- Browser
- Download file 6.86 MB
-
https://huggingface.co/SALT-NLP/CultureBank-Mixtral-DPO/resolve/main/adapter_model.bin
- Command line
-
hf download hf://SALT-NLP/CultureBank-Mixtral-DPO/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/SALT-NLP/CultureBank-Mixtral-DPO/resolve/main/adapter_model.bin
6.86 MB
- Xet hash:
- 5faec3bab211e0ff1faac1fb98c00ec3bbb16ee2ddeaaaf8e49d0d443daca14f
- Size of remote file:
- 6.86 MB
- SHA256:
- 5721a5b03639f027640b311c2200e1173b045c292a3b05a97b8f67797247ea81
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