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 tokenizer.json from julycodes/final-gemma-plan: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/julycodes/final-gemma-plan/resolve/main/tokenizer.json
- Command line
-
hf download hf://julycodes/final-gemma-plan/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/julycodes/final-gemma-plan/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 1f2f09d6e1fe8a9b185eb23eb7505d38eff1e9ab35d7edeed65eef4793d39764
- Size of remote file:
- 17.5 MB
- SHA256:
- 05e97791a5e007260de1db7e1692e53150e08cea481e2bf25435553380c147ee
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