Instructions to use 1-lock/4fd0060f-8207-495b-9bd3-5b1343322050 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/4fd0060f-8207-495b-9bd3-5b1343322050 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "1-lock/4fd0060f-8207-495b-9bd3-5b1343322050") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba48a4a753aeee8e9a6c97faeffc2e3b5569d5781d650bfcee3b948991d876fe
- Size of remote file:
- 314 MB
- SHA256:
- afd631a925f42608d56247ae67b3f0ef6ca8b77b463668920f747762dca00752
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