Instructions to use feelsogoodeasy/google-gemma-2b-1727330268 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use feelsogoodeasy/google-gemma-2b-1727330268 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "feelsogoodeasy/google-gemma-2b-1727330268") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24737f68904c0587434e23fdb2ce180bde7a1b2b8ff634485e64ba296b096cea
- Size of remote file:
- 1.85 MB
- SHA256:
- dd9f1bab3bc5f4661b31f9412e3af75d9b0c00c8ce1aa373487b64403b8d6d26
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