Feature Extraction
Transformers
Safetensors
PyTorch
modernbert
text-classification
url-classification
malicious-url
malicious-url-detection
phishing
phishing-detection
malware
cybersecurity
security
tiny
lightweight
embeddings
text-embeddings-inference
Instructions to use CrabInHoney/urlbert-tiny-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CrabInHoney/urlbert-tiny-v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CrabInHoney/urlbert-tiny-v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("CrabInHoney/urlbert-tiny-v6") model = AutoModel.from_pretrained("CrabInHoney/urlbert-tiny-v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CrabInHoney/urlbert-tiny-v6: direct link, hf CLI and curl.
- Browser
- Download file 523 kB
-
https://huggingface.co/CrabInHoney/urlbert-tiny-v6/resolve/main/tokenizer.json
- Command line
-
hf download hf://CrabInHoney/urlbert-tiny-v6/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/CrabInHoney/urlbert-tiny-v6/resolve/main/tokenizer.json
523 kB
File too large to display, you can check the raw version instead.