Instructions to use datlaaaaaaa/5f9892b9-7528-4ea0-b06e-90e331780ec9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/5f9892b9-7528-4ea0-b06e-90e331780ec9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "datlaaaaaaa/5f9892b9-7528-4ea0-b06e-90e331780ec9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d0c02e2f1af8eb0440f1e191115949802360e282d0811158950061ed5486ecb
- Size of remote file:
- 6.78 kB
- SHA256:
- 5de6cceda5ea94bb6af58f0f1031f7e9f5e5d457016cbb6bbcdf0bd93362da65
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.