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:
- f6c830a4d7496f7124cdbbb27d4fdc2995f2d538eab0f57be5a72c7e38a8d664
- Size of remote file:
- 88 Bytes
- SHA256:
- 005e2b8f6a5f5ac99613c4118cc6231b9da447327e24c4f7a59c884e99305709
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