Instructions to use Youthquake123/gemma3-4b_gate_5e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Youthquake123/gemma3-4b_gate_5e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-pt") model = PeftModel.from_pretrained(base_model, "Youthquake123/gemma3-4b_gate_5e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 635284e24c562e4acde7419a4480b24e6b2c23ed032cc3e23e685067a5935195
- Size of remote file:
- 2.84 GB
- SHA256:
- 39b1b40036f6f4d39bd375226c43205cd6c638dd66979c7b0e5cb68ec481e59e
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