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:
- 472dd3dfa9959fd32d8dbf6c298d1ed06127cd2c94f7364cd74cbc0354ce7722
- Size of remote file:
- 5.65 kB
- SHA256:
- 91a40aa9be358406831dc6d9c2b1e90b43495d29bd73a107a65c3beec0332cf1
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