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Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 21134453
  • CO2 Emissions (in grams): 38.102565360610484

Validation Metrics

  • Loss: 0.172550767660141
  • Accuracy: 0.9355
  • Precision: 0.9362853135644159
  • Recall: 0.9346
  • AUC: 0.98267064
  • F1: 0.9354418977079372


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-21134453

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("mmcquade11/autonlp-imdb-test-21134453", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("mmcquade11/autonlp-imdb-test-21134453", use_auth_token=True)

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

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