Instructions to use Jukaboo/checkpoint-65 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jukaboo/checkpoint-65 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-65") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43e9b52b5161103933d083abb95fc2075487a861be6c45f664b965b1acf59dab
- Size of remote file:
- 8.56 MB
- SHA256:
- ea45833cd418b099c59f6ff9ad116d117d9d5ead0b035e9c9f294d650d5b7817
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