Instructions to use bridge4/CSIC2010_webATTACK_transformer_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bridge4/CSIC2010_webATTACK_transformer_classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bridge4/CSIC2010_webATTACK_transformer_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from bridge4/CSIC2010_webATTACK_transformer_classifier: direct link, hf CLI and curl.
- Browser
- Download file 320 Bytes
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https://huggingface.co/bridge4/CSIC2010_webATTACK_transformer_classifier/resolve/main/README.md
- Command line
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hf download hf://bridge4/CSIC2010_webATTACK_transformer_classifier/README.md
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curl -L -o README.md https://huggingface.co/bridge4/CSIC2010_webATTACK_transformer_classifier/resolve/main/README.md
320 Bytes
| tags: | |
| - model_hub_mixin | |
| - pytorch_model_hub_mixin | |
| This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration: | |
| - Library: [More Information Needed] | |
| - Docs: [More Information Needed] |