Instructions to use kibiddd/CAT-Qwen-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kibiddd/CAT-Qwen-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B") model = PeftModel.from_pretrained(base_model, "kibiddd/CAT-Qwen-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42c36f1f32234668e8a048a8ee3af14e74a15711dc74f09c6f08d101a244eb6a
- Size of remote file:
- 20 MB
- SHA256:
- e56427d66f44411c2dec1288b236f6d2c3eeafd611d1d0e2e92ad9301616e1e7
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