Instructions to use peternscale/wiki-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use peternscale/wiki-data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/runner/model") model = PeftModel.from_pretrained(base_model, "peternscale/wiki-data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51f01e37938e537bd17cc6ac2b21c2df5538118c1a2f7e905a3f92d52eb46df9
- Size of remote file:
- 84 MB
- SHA256:
- 416d2ce593e372bc58a8f160c1eb8790b7a5df97b53c3a55db9c05cf5f714e51
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