Text Classification
Transformers
Safetensors
modernbert
prompt-injection
jailbreak
security
multi-label
llm-guard
encoder
text-embeddings-inference
Instructions to use Accuknoxtechnologies/PromptInjection-Encoder-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Accuknoxtechnologies/PromptInjection-Encoder-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Accuknoxtechnologies/PromptInjection-Encoder-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Accuknoxtechnologies/PromptInjection-Encoder-v1") model = AutoModelForSequenceClassification.from_pretrained("Accuknoxtechnologies/PromptInjection-Encoder-v1") - Notebooks
- Google Colab
- Kaggle
File size: 2,542 Bytes
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"architectures": [
"ModernBertForSequenceClassification"
],
"attention_bias": false,
"attention_dropout": 0.0,
"base_model": "jhu-clsp/mmBERT-base",
"bos_token_id": 2,
"category_thresholds": {
"Adversarial": 0.45,
"DirectInjection": 0.55,
"Encoding": 0.45,
"Extraction": 0.55,
"Indirect": 0.25,
"Jailbreak": 0.05,
"Manipulation": 0.25,
"MultiTurn": 0.7,
"Smuggling": 0.65
},
"classifier_activation": "gelu",
"classifier_bias": false,
"classifier_dropout": 0.0,
"classifier_pooling": "mean",
"cls_token_id": 1,
"decoder_bias": true,
"deterministic_flash_attn": false,
"dtype": "float32",
"embedding_dropout": 0.0,
"eos_token_id": 1,
"global_attn_every_n_layers": 3,
"global_rope_theta": 160000,
"gradient_checkpointing": false,
"hidden_activation": "gelu",
"hidden_size": 768,
"id2label": {
"0": "DirectInjection",
"1": "Jailbreak",
"2": "Adversarial",
"3": "Extraction",
"4": "Encoding",
"5": "Manipulation",
"6": "Smuggling",
"7": "Indirect",
"8": "MultiTurn"
},
"initializer_cutoff_factor": 2.0,
"initializer_range": 0.02,
"intermediate_size": 1152,
"is_valid_threshold": 0.05,
"label2id": {
"Adversarial": 2,
"DirectInjection": 0,
"Encoding": 4,
"Extraction": 3,
"Indirect": 7,
"Jailbreak": 1,
"Manipulation": 5,
"MultiTurn": 8,
"Smuggling": 6
},
"layer_norm_eps": 1e-05,
"local_attention": 128,
"local_rope_theta": 160000,
"mask_token_id": 4,
"max_position_embeddings": 8192,
"mlp_bias": false,
"mlp_dropout": 0.0,
"model_type": "modernbert",
"norm_bias": false,
"norm_eps": 1e-05,
"num_attention_heads": 12,
"num_hidden_layers": 22,
"pad_token_id": 0,
"position_embedding_type": "sans_pos",
"problem_type": "multi_label_classification",
"repad_logits_with_grad": false,
"sep_token_id": 1,
"sparse_pred_ignore_index": -100,
"sparse_prediction": false,
"training_provenance": {
"base_model": "jhu-clsp/mmBERT-base",
"epochs": 10,
"labels": [
"DirectInjection",
"Jailbreak",
"Adversarial",
"Extraction",
"Encoding",
"Manipulation",
"Smuggling",
"Indirect",
"MultiTurn"
],
"learning_rate": 3e-05,
"max_seq_length": 3072,
"problem_type": "multi_label_classification",
"task": "prompt-injection-detection",
"threshold": 0.5,
"trained_at": "2026-06-03T18:58:34+00:00"
},
"transformers_version": "4.57.6",
"vocab_size": 256000
}
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