Instructions to use dada22231/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "dada22231/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 965bbab621c44b145f272324f095f1a1c094ee8808bd0c757eb3798a39357cf3
- Size of remote file:
- 15 kB
- SHA256:
- 4607ffda6350abd7ea573d6e9f28f47e08457f27f3636fa4411b08f2e76c490e
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