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") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ce8d3f3d58b533ea0f515d988e5577336f05b9e0f2eba71fc6b45cd2379afbea
- Size of remote file:
- 360 kB
- SHA256:
- f409f2f54e71871648936777f29b00f76a9de5073592cca3249d60654dcd69bd
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