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Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 653519223
  • CO2 Emissions (in grams): 24.879856894708393

Validation Metrics

  • Loss: 0.14671853184700012
  • Accuracy: 0.9676666666666667
  • Precision: 0.9794159885112494
  • Recall: 0.9742857142857143
  • AUC: 0.9901396825396825
  • F1: 0.9768441155407017


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/doctorlan/autonlp-ctrip-653519223

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("doctorlan/autonlp-ctrip-653519223", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("doctorlan/autonlp-ctrip-653519223", 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.