Instructions to use ccaug/albert-network-attack-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccaug/albert-network-attack-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ccaug/albert-network-attack-classifier")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ccaug/albert-network-attack-classifier") model = AutoModel.from_pretrained("ccaug/albert-network-attack-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 389 Bytes
e2896d5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"add_prefix_space": true,
"backend": "tokenizers",
"bos_token": "[CLS]",
"cls_token": "[CLS]",
"do_lower_case": true,
"eos_token": "[SEP]",
"is_local": true,
"keep_accents": false,
"mask_token": "[MASK]",
"model_max_length": 512,
"pad_token": "<pad>",
"sep_token": "[SEP]",
"tokenizer_class": "AlbertTokenizer",
"trim_offsets": true,
"unk_token": "<unk>"
}
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