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:
- a32461fff8236115b5af95defd68b37c3242320df752da6bc488c17fa997458b
- Size of remote file:
- 11.5 kB
- SHA256:
- c5b0c2e2ff5bd7fe9266f7f3acb0cf1167ae28c3ea62f345cdc876b6ce10a59c
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