Instructions to use NecroMOnk/Tersa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NecroMOnk/Tersa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "NecroMOnk/Tersa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d57373b2a146ecca956d4a262fc0581ec952020d366e0a4ecd00866a2ddb9ed
- Size of remote file:
- 11.4 MB
- SHA256:
- 10c98eec27848ce3c937242bb9b6b3b88b5863488bcdb6d50458fd10259435c5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.