Instructions to use ceselder/qwen3-8b-ao-v3-best-steering2p0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ceselder/qwen3-8b-ao-v3-best-steering2p0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "ceselder/qwen3-8b-ao-v3-best-steering2p0") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ac96c080042ffa4294bb008eb07bc41fd54ae0cb3351020430ac5e9b373e2028
- Size of remote file:
- 137 kB
- SHA256:
- 56238f85820acf20d8ff97b44149023166e750eb6298d4ec222372a379f6d6ac
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