Instructions to use wahyurejeki/gemma2-2B-python23k-fine-tuned-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wahyurejeki/gemma2-2B-python23k-fine-tuned-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "wahyurejeki/gemma2-2B-python23k-fine-tuned-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b78d43dd9cd67d187139ca420455e73aef789b13ee26b26eb58160760117a10
- Size of remote file:
- 6.4 MB
- SHA256:
- 8b2e0ef9f336756a7878fa9c233c06483fd08d82c0848d94cedb06d9e3e031e3
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