Instructions to use djroytburg/auditbench-qwen3-14b-sft-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-sft-graft-animal-welfare with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B") model = PeftModel.from_pretrained(base_model, "djroytburg/auditbench-qwen3-14b-sft-graft-animal-welfare") - Notebooks
- Google Colab
- Kaggle
AuditBench organism organism_sft_graft_animal_welfare (combined r128); card + provenance
74fe06f verified Download adapter_model.safetensors from djroytburg/auditbench-qwen3-14b-sft-graft-animal-welfare: direct link, hf CLI and curl.
- Browser
- Download file 2.06 GB
-
https://huggingface.co/djroytburg/auditbench-qwen3-14b-sft-graft-animal-welfare/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://djroytburg/auditbench-qwen3-14b-sft-graft-animal-welfare/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/djroytburg/auditbench-qwen3-14b-sft-graft-animal-welfare/resolve/main/adapter_model.safetensors
2.06 GB
- Xet hash:
- 0b7d3facdeccb522b1fb2b96e879f72768cb716e39adfc72c51baa71f5ca79e7
- Size of remote file:
- 2.06 GB
- SHA256:
- fd0e7c6dd036f18e209bf4708ee4898d3912574618198931fafcfe1dd3e7b90c
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