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Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 1053836318
  • CO2 Emissions (in grams): 16.050883703347175

Validation Metrics

  • Loss: 0.15769560635089874
  • Accuracy: 0.9472160356347439
  • Precision: 0.9516664453591821
  • Recall: 0.9538195368645196
  • AUC: 0.9851485979250193
  • F1: 0.9527417746759722

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/borgr/autotrain-Trial-1053836318

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("borgr/autotrain-Trial-1053836318", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("borgr/autotrain-Trial-1053836318", use_auth_token=True)

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

outputs = model(**inputs)
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Dataset used to train borgr/autotrain-Trial-1053836318