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:
- 37602e5b88e3b4cf8871b1e88b87dc648bae0f50b9ba3ffe4dff3b21306c9320
- Size of remote file:
- 7.48 kB
- SHA256:
- 06cde633f245c5751bcc5ca4213b0b0447ca987a91cbd19fcc0cb8fb26718441
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