Instructions to use dada22231/06c15e0c-cd8d-4f53-9499-3afbf097a8d1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/06c15e0c-cd8d-4f53-9499-3afbf097a8d1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "dada22231/06c15e0c-cd8d-4f53-9499-3afbf097a8d1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f33ae5eda6359b479cbd9c8267b68553721c42ab94e46784fd3bf8792979238
- Size of remote file:
- 6.84 kB
- SHA256:
- 40d17d69a408fd86e755cff890ce5f6c1ce66240870e678fe9c03b37664b3fbf
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