Instructions to use Vyshnev/bert-phishing-classifier_student with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vyshnev/bert-phishing-classifier_student with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vyshnev/bert-phishing-classifier_student")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Vyshnev/bert-phishing-classifier_student") model = AutoModelForSequenceClassification.from_pretrained("Vyshnev/bert-phishing-classifier_student", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Vyshnev/bert-phishing-classifier_student: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Vyshnev/bert-phishing-classifier_student/resolve/main/tokenizer.json
- Command line
-
hf download hf://Vyshnev/bert-phishing-classifier_student/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Vyshnev/bert-phishing-classifier_student/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.