Instructions to use cunghoctienganh/2c505383-d894-471a-8d51-f291b2d6b6ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/2c505383-d894-471a-8d51-f291b2d6b6ca 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, "cunghoctienganh/2c505383-d894-471a-8d51-f291b2d6b6ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62dce8d7e80bdd0ca270eb544ab486a5783f321d7ae5fc823fa84e3e16d24a3e
- Size of remote file:
- 37.1 MB
- SHA256:
- 4f2e4b8ccb339ad5fcb3c8026ec436c1509eb9cf291881e37fe7ffdbac37c8bc
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