Instructions to use GoYM/gemma-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GoYM/gemma-ft 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, "GoYM/gemma-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f3fed4a44dd3daac0a7a32e67a4becbefaf0d439a01a73977b07a5bedefd9b0
- Size of remote file:
- 5.62 kB
- SHA256:
- 41c0b915f4c95130e231e31f91e0fd5b0d68d804f59d1ac82cd7834569defda9
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