Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
cybersecurity
text-embeddings-inference
Instructions to use conflick0/vuln-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conflick0/vuln-cat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="conflick0/vuln-cat")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("conflick0/vuln-cat") model = AutoModelForSequenceClassification.from_pretrained("conflick0/vuln-cat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,241 Bytes
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"_name_or_path": "allenai/scibert_scivocab_uncased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "csrf",
"1": "directory_traversal",
"2": "file_inclusion",
"3": "input_validation",
"4": "memory_corruption",
"5": "open_redirect",
"6": "overflow",
"7": "sql_injection",
"8": "ssrf",
"9": "xss",
"10": "xxe"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"csrf": 0,
"directory_traversal": 1,
"file_inclusion": 2,
"input_validation": 3,
"memory_corruption": 4,
"open_redirect": 5,
"overflow": 6,
"sql_injection": 7,
"ssrf": 8,
"xss": 9,
"xxe": 10
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.38.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 31090
}
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