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Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 21134442
  • CO2 Emissions (in grams): 298.7849611952843

Validation Metrics

  • Loss: 0.21618066728115082
  • Accuracy: 0.9393
  • Precision: 0.9360730593607306
  • Recall: 0.943
  • AUC: 0.98362804
  • F1: 0.9395237620803029


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 AutoNLP"}' https://api-inference.huggingface.co/models/mmcquade11/autonlp-imdb-test-21134442

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("mmcquade11/autonlp-imdb-test-21134442", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("mmcquade11/autonlp-imdb-test-21134442", use_auth_token=True)

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

outputs = model(**inputs)
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Text Classification
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