Instructions to use aleegis/b79e2d3f-8088-470b-9713-b9ec3fb3215a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/b79e2d3f-8088-470b-9713-b9ec3fb3215a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Base") model = PeftModel.from_pretrained(base_model, "aleegis/b79e2d3f-8088-470b-9713-b9ec3fb3215a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd946a3824fba789bfce38d52fb5cb55ea5dc0057ee4d73453289e7a2ec18cb7
- Size of remote file:
- 265 MB
- SHA256:
- 78ad1ee883fd30b65e7ea23f64929c18ec102e7c9130f39e537f600533e27ca6
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