Instructions to use trangtrannnnn/943465bc-7086-45f5-bcd8-82cf4d38f0ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/943465bc-7086-45f5-bcd8-82cf4d38f0ce with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "trangtrannnnn/943465bc-7086-45f5-bcd8-82cf4d38f0ce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f82891b1b8fbc812a96ebf2c084ad0f7cc8408ef8d3dd75adba7919bac762cc
- Size of remote file:
- 6.78 kB
- SHA256:
- e46cb427680a015a7ad5c5bea7ab98b36c8c070de5b1a3530f86ee52f3e7ca6a
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