Instructions to use trangtrannnnn/469ecbb5-810f-4a55-8290-cd005a7ce037 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/469ecbb5-810f-4a55-8290-cd005a7ce037 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-1.5B") model = PeftModel.from_pretrained(base_model, "trangtrannnnn/469ecbb5-810f-4a55-8290-cd005a7ce037") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60c95c87280b94f1ae78cdaa34424a03c9f55a5882b5553c174d4d1794dafc3f
- Size of remote file:
- 37.1 MB
- SHA256:
- 47822c15dc28135f22cc18fa2294eb319053a0616eb81af76edc7e0c09f8b8ba
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