Instructions to use 1-lock/4bfc3447-f9d8-4ba1-932b-c6d2484e0e24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/4bfc3447-f9d8-4ba1-932b-c6d2484e0e24 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "1-lock/4bfc3447-f9d8-4ba1-932b-c6d2484e0e24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3a33004d5f372455c674e7440011945006962a586a125891d7f05e8ca7caab9
- Size of remote file:
- 671 MB
- SHA256:
- 8d8764d5189fc7e9f984ab60d4b0456b55f948ba4d5d9e1fb5f08fc00a6d0198
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