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:
- 614d8c21015eb8f1b0a76754166eb02472449b6d576c0b3a8aed1e4021030d13
- Size of remote file:
- 9.55 kB
- SHA256:
- 163ac4a8ab70ff10fc058aa711b9fe8dae52776e5b4ed5e6ccb19c041f3f81df
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