This model is used to determine if a domain name is malicious or not. It should be used only as a suggestion as it does have some false positives, especialy on domains from other countries.

tags: - autotrain - text-classification language: - en widget: - text: "I love AutoTrain 🤗" datasets: - Cubicz/autotrain-data-domain-filer-2 co2_eq_emissions: emissions: 2.854698438703003

Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 3436193686
CO2 Emissions (in grams): 2.8547

Validation Metrics

Loss: 0.124
Accuracy: 0.967
Precision: 0.963
Recall: 0.963
AUC: 0.991
F1: 0.963

Usage

You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/Cubicz/autotrain-domain-filer-2-3436193686

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Cubicz/autotrain-domain-filer-2-3436193686", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Cubicz/autotrain-domain-filer-2-3436193686", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)