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/training_args.bin from MuazTPM/defender-model: direct link, hf CLI and curl.
- Browser
- Download file 6.67 kB
-
https://huggingface.co/MuazTPM/defender-model/resolve/main/checkpoint-50/training_args.bin
- Command line
-
hf download hf://MuazTPM/defender-model/checkpoint-50/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MuazTPM/defender-model/resolve/main/checkpoint-50/training_args.bin
6.67 kB
- Xet hash:
- 5991e1b75ad5ffdceb3696f6954a6fdb751657175e7522d9ccd19fcc8899c6c7
- Size of remote file:
- 6.67 kB
- SHA256:
- a45b0c7cd6161e4b806ace3363e5cb4808918e90e8c4fffa3d7683ce37b7a2f1
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