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Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 537215209
  • CO2 Emissions (in grams): 1.171798205242445

Validation Metrics

  • Loss: 0.3879534602165222
  • Accuracy: 0.8597449908925319
  • Precision: 0.8318042813455657
  • Recall: 0.9251700680272109
  • AUC: 0.9230158730158731
  • F1: 0.8760064412238325


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/zwang199/autonlp-traffic_nlp_binary-537215209

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("zwang199/autonlp-traffic_nlp_binary-537215209", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("zwang199/autonlp-traffic_nlp_binary-537215209", use_auth_token=True)

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

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

Dataset used to train zwang199/autonlp-traffic_nlp_binary-537215209