Text Classification
Transformers
Safetensors
English
ai-detection
ai-edit-detection
out-of-distribution
ood-detection
content-integrity
qwen3
deepsvdd
Instructions to use reneeice/ood-editguard-qwen3-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reneeice/ood-editguard-qwen3-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reneeice/ood-editguard-qwen3-0.6b")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("reneeice/ood-editguard-qwen3-0.6b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80779200110da6c652ecf692175426b9c31b141e21304baa3787453754920d33
- Size of remote file:
- 34.9 MB
- SHA256:
- 5a164c563b092e1ae53f294f5f72404acd5a7b951559783c598d7432ef768ec3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.