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:
- 2d482cc74f9929a3029d7352d88393fdaf56350297aa4646b016c8b0b916684d
- Size of remote file:
- 60 MB
- SHA256:
- 773a69c781c7e6da41b73b5063cdb96e0c1d32af556482de5c460f58673b4f2b
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