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-4/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-4/training_args.bin
- Command line
-
hf download hf://MuazTPM/defender-model/checkpoint-4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MuazTPM/defender-model/resolve/main/checkpoint-4/training_args.bin
6.67 kB
- Xet hash:
- 225234048ae58b06affef7ecf0522afaf802319d9eac07959c88944d217eb59e
- Size of remote file:
- 6.67 kB
- SHA256:
- c21a72bceea315dccc789ec17ac53dffaf0215769b75e7096279d485f465266a
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