Instructions to use MuazTPM/defender-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuazTPM/defender-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MuazTPM/defender-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-50/optimizer.pt from MuazTPM/defender-model: direct link, hf CLI and curl.
- Browser
- Download file 85.7 MB
-
https://huggingface.co/MuazTPM/defender-model/resolve/main/checkpoint-50/optimizer.pt
- Command line
-
hf download hf://MuazTPM/defender-model/checkpoint-50/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/MuazTPM/defender-model/resolve/main/checkpoint-50/optimizer.pt
85.7 MB
- Xet hash:
- 1704db2a44505c15d1aa2465e1c1d27530509511e076f8cc5c577af1a1f49635
- Size of remote file:
- 85.7 MB
- SHA256:
- 5350c8d4d5d4e69a825c1161b2521026dbea01b8ab2eb63bb9f6fb05d1187b84
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