Instructions to use 1-lock/8ec787cb-a9c5-47f2-983d-3d13a9372fe7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/8ec787cb-a9c5-47f2-983d-3d13a9372fe7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.4") model = PeftModel.from_pretrained(base_model, "1-lock/8ec787cb-a9c5-47f2-983d-3d13a9372fe7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed58582f950754c46ad82043e97c17a82b0571b83c56549f71510bb71da9bdba
- Size of remote file:
- 6.84 kB
- SHA256:
- 3d858d057e7583828394bbedd5f6097ef4318c8879855e07e2ff78ff5e172d2f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.