Instructions to use josephmayo/gemma-4-E4B-it-coding-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use josephmayo/gemma-4-E4B-it-coding-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "josephmayo/gemma-4-E4B-it-coding-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7eb66db7d2555ab958e681f6631dfa98f8b403a91442c1808de5d2be3386d9e
- Size of remote file:
- 32.2 MB
- SHA256:
- 88e7140798a237085e49912b68c73b1928d746c7d263133d61f7c3f39dca8431
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