Instructions to use cvoffer/a1266669-34dc-405c-aefc-3ccf25e390f7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cvoffer/a1266669-34dc-405c-aefc-3ccf25e390f7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "cvoffer/a1266669-34dc-405c-aefc-3ccf25e390f7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 356d42dcec55ca9783e9fa0833ed501ea970674fcde55ed669bb7467eb55fee5
- Size of remote file:
- 157 MB
- SHA256:
- ba01dcd38bdf0817c18c69e55eea675b11b64e78a905716959d0248901bef99b
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