Instructions to use chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88 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/6dc5c693-bd8b-469b-8884-71b4941f4e88") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b060084ad63ccc2a0041ced05caea8ff05273dff091cbfa3104b389ed46269cb
- Size of remote file:
- 21.5 MB
- SHA256:
- 88bbfdda94a95319527230cb8664434ac2ddd3a5bcf48aad7777747297ad05b0
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