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 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/training_args.bin
- Command line
-
hf download hf://MuazTPM/defender-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MuazTPM/defender-model/resolve/main/training_args.bin
6.67 kB
- Xet hash:
- 6afba2f869b516d0fb1a564254d6b2b75c1d5a62cab3bf98a35534a5f6dbb883
- Size of remote file:
- 6.67 kB
- SHA256:
- 9107f9f9e124fcdfbf6ef3ddbf42619d99c323466de7a60f15005895e3f3aa4b
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