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
Download tokenizer.json from amahdaouy/DomURLs_BERT: direct link, hf CLI and curl.
- Browser
- Download file 1.32 MB
-
https://huggingface.co/amahdaouy/DomURLs_BERT/resolve/main/tokenizer.json
- Command line
-
hf download hf://amahdaouy/DomURLs_BERT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/amahdaouy/DomURLs_BERT/resolve/main/tokenizer.json
1.32 MB
File too large to display, you can check the raw version instead.