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:
- 8c67e3ddd1075e2b3d44ffe0fa9fac2a2f6b7d776c59c7bda9f0323cd9686c5a
- Size of remote file:
- 671 MB
- SHA256:
- aa0824cc4da64f54b8f6e6255b50964e1444f623f940632fc70f9490bb23c088
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