Instructions to use ImagineIt/beta-test-checkpoint-6000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ImagineIt/beta-test-checkpoint-6000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "ImagineIt/beta-test-checkpoint-6000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2d83039d8fa014e5761e71eeb9ffcbbb4b0409c6f69da697a83f402921db6a9
- Size of remote file:
- 1.06 kB
- SHA256:
- 070b12f7e6b27cc37d0e337248299a13f4e52752d3e2c818da3addebdbe44506
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.