Feature Extraction
Transformers
Safetensors
bert
urls
domain names
cybersecurity
multilingual
domain generation algorithm
dga
phishing
malware
DNS tunneling
urls classification
domain names classification
BERT
Encoder
text-embeddings-inference
Instructions to use amahdaouy/DomURLs_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amahdaouy/DomURLs_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="amahdaouy/DomURLs_BERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("amahdaouy/DomURLs_BERT") model = AutoModel.from_pretrained("amahdaouy/DomURLs_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
remove path from config
Browse files- config.json +0 -1
config.json
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{
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"_name_or_path": "/home/abdelkader.elmahdaou/lustre/data_sec-um6p-st-sccs-6sevvl76uja/IDS/mahdaouy/domurls_pretraining/bert_out_new_domruls/checkpoint-260000",
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"architectures": [
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"BertModel"
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],
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{
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"architectures": [
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"BertModel"
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],
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