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Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 3523995259
  • CO2 Emissions (in grams): 0.0059

Validation Metrics

  • Loss: 0.422
  • Accuracy: 1.000
  • Macro F1: 1.000
  • Micro F1: 1.000
  • Weighted F1: 1.000
  • Macro Precision: 1.000
  • Micro Precision: 1.000
  • Weighted Precision: 1.000
  • Macro Recall: 1.000
  • Micro Recall: 1.000
  • Weighted Recall: 1.000

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/Saripudin/autotrain-bbc-news-classifier-3523995259

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Saripudin/autotrain-bbc-news-classifier-3523995259", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Saripudin/autotrain-bbc-news-classifier-3523995259", use_auth_token=True)

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

outputs = model(**inputs)
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Dataset used to train Saripudin/autotrain-bbc-news-classifier-3523995259