Instructions to use dada22231/0ce63847-2fb3-4975-a47e-f3f32ee8b49a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/0ce63847-2fb3-4975-a47e-f3f32ee8b49a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B") model = PeftModel.from_pretrained(base_model, "dada22231/0ce63847-2fb3-4975-a47e-f3f32ee8b49a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26eddd5fbeeb3e5f2c8d9285fae46579b02b85bb88034f89a297a490b73af679
- Size of remote file:
- 148 MB
- SHA256:
- 1d7dbec5950eaa3173dc417cfb7fe099d68ac105931e90c7eae93b5d952d9132
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