Instructions to use nttx/0f93b513-f452-4599-beb3-0b6e6831b198 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/0f93b513-f452-4599-beb3-0b6e6831b198 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "nttx/0f93b513-f452-4599-beb3-0b6e6831b198") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccdfc3fc172f4c885ad08e251f4d80cdefed584ee3487ae5ce068d047a228eac
- Size of remote file:
- 14.2 kB
- SHA256:
- a517bf50d2a2512fe653b89eb1c1bc673843c1ea88c5b511abd0904581247359
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