Text Classification
Transformers
Safetensors
Bosnian
English
German
xlm-roberta
email-security
phishing-detection
cybersecurity
nlp
Generated from Trainer
text-embeddings-inference
Instructions to use MujMej/phishguard-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MujMej/phishguard-ai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MujMej/phishguard-ai")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MujMej/phishguard-ai") model = AutoModelForSequenceClassification.from_pretrained("MujMej/phishguard-ai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cecce74b4f86279acac40b4271bcc7b7d30b40e664a1cd02bb9fd8d74403a04f
- Size of remote file:
- 5.84 kB
- SHA256:
- 0a6493a16faa6840eaef342fea27428c4868fdf33df201296aa5076d8302eb53
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