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:
- 73683f4802c185f6a1692b17fbc9bf3cd870697bbcf5c52b7acef8c995eac82a
- Size of remote file:
- 6.88 kB
- SHA256:
- 89c65f396220e4b0b26f183dfbd99fb0cb51c3880a290bf22e7585d415f72e7f
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