Instructions to use dada22231/1b8ab1e0-6218-4b84-9c24-f74892620058 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/1b8ab1e0-6218-4b84-9c24-f74892620058 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, "dada22231/1b8ab1e0-6218-4b84-9c24-f74892620058") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92862f474e4c83f2190572827756e5e1c5756c330c47623f3bba96ab69bb4ef1
- Size of remote file:
- 15 kB
- SHA256:
- ebded1ce7796358221263c18862c2370a5b3904798ad0f7739dae7a733ee4ea7
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