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Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 73173139143
  • CO2 Emissions (in grams): 1.5120

Validation Metrics

  • Loss: 0.000
  • Accuracy: 1.000
  • Precision: 1.000
  • Recall: 1.000
  • AUC: 1.000
  • F1: 1.000

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/halilbabacan/autotrain-cognitive_distortion_gpt_roberta-73173139143

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("halilbabacan/autotrain-cognitive_distortion_gpt_roberta-73173139143", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("halilbabacan/autotrain-cognitive_distortion_gpt_roberta-73173139143", use_auth_token=True)

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

outputs = model(**inputs)
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Dataset used to train halilbabacan/autotrain-cognitive_distortion_gpt_roberta-73173139143