Instructions to use Jukaboo/checkpoint-260 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jukaboo/checkpoint-260 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Jukaboo/checkpoint-260") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 380b1cc44c04e7e6df573c328d09ac2a64f712390ff3576caa0292c7fac94399
- Size of remote file:
- 4.54 kB
- SHA256:
- 2494663c7f0e92a4fb2f2e93a0f9ede601832248f8173403d06dc46cd2aa0dad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.