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:
- cda1a75178f556a2096db58261c1956c9b7b265b19d14c875122693f21b2f144
- Size of remote file:
- 7.48 kB
- SHA256:
- c6f9d1403cc58e5249e7049abfe71675d5be66930d6f94fc35384060696eccd6
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