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Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 688220764
  • CO2 Emissions (in grams): 2.0817207656772445

Validation Metrics

  • Loss: 0.3055502772331238
  • Accuracy: 0.9030612244897959
  • Precision: 0.9528301886792453
  • Recall: 0.8782608695652174
  • AUC: 0.9439076757917337
  • F1: 0.9140271493212669

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/vlsb/autotrain-security-texts-classification-distilroberta-688220764

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("vlsb/autotrain-security-texts-classification-distilroberta-688220764", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("vlsb/autotrain-security-texts-classification-distilroberta-688220764", use_auth_token=True)

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

outputs = model(**inputs)
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Text Classification
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Examples
This model can be loaded on the Inference API on-demand.

Dataset used to train vlsb/autotrain-security-texts-classification-distilroberta-688220764