Instructions to use nhung03/06a32eaf-bfe9-421e-96f0-f720212af702 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/06a32eaf-bfe9-421e-96f0-f720212af702 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, "nhung03/06a32eaf-bfe9-421e-96f0-f720212af702") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d12b8a2c8af8a00b2872c9fc01b4cf146173bd939403b7028e7d7bbba7c749e
- Size of remote file:
- 37.1 MB
- SHA256:
- a7ce0b31c1d84f790494a2484aaae196530a0d26de49b567da2d5584629478a2
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