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Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 732022289
  • CO2 Emissions (in grams): 0.02886635131127639

Validation Metrics

  • Loss: 0.19849611818790436
  • Accuracy: 0.9471186440677966
  • Macro F1: 0.9441816841379956
  • Micro F1: 0.9471186440677966
  • Weighted F1: 0.9470801715002611
  • Macro Precision: 0.945983665608131
  • Micro Precision: 0.9471186440677966
  • Weighted Precision: 0.9475574732458715
  • Macro Recall: 0.9429694962141204
  • Micro Recall: 0.9471186440677966
  • Weighted Recall: 0.9471186440677966

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/jurader/autotrain-livedoor_news-732022289

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("jurader/autotrain-livedoor_news-732022289", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("jurader/autotrain-livedoor_news-732022289", use_auth_token=True)

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

outputs = model(**inputs)
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