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-100/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-100/optimizer.pt
- Command line
-
hf download hf://MuazTPM/defender-model/checkpoint-100/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/MuazTPM/defender-model/resolve/main/checkpoint-100/optimizer.pt
85.7 MB
- Xet hash:
- b5848ef8cafeae00476d154dfe2a6de30e88ca44e5d62cd7289040d87f9e17ed
- Size of remote file:
- 85.7 MB
- SHA256:
- e5d6a0d61fc0ce45d13acafc8b406f598ecb1473c38cee11ba41850015ef7d16
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