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:
- a4b240cf56464f0a46bae4c3b81721bcaec491d5b7c53b062a2920d46dabd6a1
- Size of remote file:
- 11.4 MB
- SHA256:
- 574de68a0f63f2004784a421c7d42c2b2786c05cb38542d2ed3525757a1f7fde
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