Instructions to use djroytburg/auditbench-qwen3-14b-s1-graft-animal-welfare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use djroytburg/auditbench-qwen3-14b-s1-graft-animal-welfare with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B-Base") model = PeftModel.from_pretrained(base_model, "djroytburg/auditbench-qwen3-14b-s1-graft-animal-welfare") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c39a31779a0acb0a23da9e2c18be8a5c45e578eb48922cc545aadf3bf8b50049
- Size of remote file:
- 1.03 GB
- SHA256:
- 0c0166002c5db3e0d2026a21c4064d9db361dafdd43a5976af562caace6f8096
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