Instructions to use duyphu/6dc5c693-bd8b-469b-8884-71b4941f4e88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/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, "duyphu/6dc5c693-bd8b-469b-8884-71b4941f4e88") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ecbbc67e54fb36de0727b8aef8627dd38b166da264439c06e0b6025947ccff2
- Size of remote file:
- 41.6 MB
- SHA256:
- 7ea2f8a1c9e2fbfd4e16276ca300c617a93ef094fe7053c4e05a36704e649728
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