Instructions to use mrHungddddh/21b7fa6c-6c15-4bea-927f-8ca2c449d239 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/21b7fa6c-6c15-4bea-927f-8ca2c449d239 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "mrHungddddh/21b7fa6c-6c15-4bea-927f-8ca2c449d239") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75acb08b96fe861a82764a4e150d5c6d700f90723d3a9c5d9d508eb52b36d1b2
- Size of remote file:
- 34.4 MB
- SHA256:
- d964a2c8346d40f95791533eae48730d5f163c2e65fd16333560fd3e661df318
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