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Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 1649058539
  • CO2 Emissions (in grams): 0.0403

Validation Metrics

  • Loss: 0.478
  • Accuracy: 0.779
  • Precision: 0.814
  • Recall: 0.520
  • AUC: 0.881
  • F1: 0.635

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/suresh-subramanian/autotrain-fake-news-1649058539

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("suresh-subramanian/autotrain-fake-news-1649058539", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("suresh-subramanian/autotrain-fake-news-1649058539", use_auth_token=True)

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

outputs = model(**inputs)
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Dataset used to train suresh-subramanian/autotrain-fake-news-1649058539