Instructions to use chauhoang/78162bad-ca18-b072-91a2-c6a11d0c1bf1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/78162bad-ca18-b072-91a2-c6a11d0c1bf1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "chauhoang/78162bad-ca18-b072-91a2-c6a11d0c1bf1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 265926b74acb8873f2c7408f8493c57099a26a23a4b91f7d04d11aceac79fb9e
- Size of remote file:
- 6.78 kB
- SHA256:
- cdea783cb006cfbd6f966f338f108d12cb5f4773d37425385fba56abc6d2b337
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