Instructions to use julycodes/final-gemma-plan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use julycodes/final-gemma-plan with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "julycodes/final-gemma-plan") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from julycodes/final-gemma-plan: direct link, hf CLI and curl.
- Browser
- Download file 401 MB
-
https://huggingface.co/julycodes/final-gemma-plan/resolve/main/optimizer.pt
- Command line
-
hf download hf://julycodes/final-gemma-plan/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/julycodes/final-gemma-plan/resolve/main/optimizer.pt
401 MB
- Xet hash:
- bd2733e2a6428ead2b09c43a51b88c8f39a12e3be34f701863eb5b2bf2aebf91
- Size of remote file:
- 401 MB
- SHA256:
- b8391088c03e90d1be3b77ca3b041ef0ab455e256ee2427fd01e35feb8b8e846
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