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:
- 824abafa272ae9a3d7a8ee39e81ecab2d48afc00985148cee3498e611c374757
- Size of remote file:
- 88 Bytes
- SHA256:
- 276d0cc3b0ab1faa77db5237bd3e05879d1083f9356b8ea8063f5fe6c1e8f6cd
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