Text Classification
Transformers
Safetensors
English
distilbert
phishing_urls
phishing
text_classifaction
machine_learning
Instructions to use pelz-y3mi/phishing-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pelz-y3mi/phishing-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pelz-y3mi/phishing-detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pelz-y3mi/phishing-detector") model = AutoModelForSequenceClassification.from_pretrained("pelz-y3mi/phishing-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pelz-y3mi/phishing-detector: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/pelz-y3mi/phishing-detector/resolve/main/training_args.bin
- Command line
-
hf download hf://pelz-y3mi/phishing-detector/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pelz-y3mi/phishing-detector/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 521b16bd1ed5e1180c9cec1baf20bd6ab67ee3c17927c9b9deabd79a66041f00
- Size of remote file:
- 5.3 kB
- SHA256:
- bc235902f6473d78dc0976d04da703d81e7b763b078f24d0332dcf7a26eaefd7
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