Instructions to use Siluni/gemma3-4b-cpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Siluni/gemma3-4b-cpt with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "Siluni/gemma3-4b-cpt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58610ae638246a0472954d06e2f72e6765c428871abadff88fb09c675cd9bed0
- Size of remote file:
- 33.4 MB
- SHA256:
- a74aefb1dc1340a25f29ab8370384b9ed24b2d921d7749ece7bbcfcfdf00d497
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