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:
- 22ecd8656e6f5f4ae12c210b580fb5edcc331be449fa2f81cc23369dcd249205
- Size of remote file:
- 6.84 kB
- SHA256:
- d8cc8ef13af3a42dfff36ce23aa3736618eb82f8454253f53e87829499816620
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