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Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 536415182
  • CO2 Emissions (in grams): 1.268309634217171

Validation Metrics

  • Loss: 0.44733062386512756
  • Accuracy: 0.8873239436619719
  • Macro F1: 0.8859416445623343
  • Micro F1: 0.8873239436619719
  • Weighted F1: 0.8864646766540891
  • Macro Precision: 0.8848522167487685
  • Micro Precision: 0.8873239436619719
  • Weighted Precision: 0.8883299798792756
  • Macro Recall: 0.8908045977011494
  • Micro Recall: 0.8873239436619719
  • Weighted Recall: 0.8873239436619719

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 AutoNLP"}' https://api-inference.huggingface.co/models/alperiox/autonlp-user-review-classification-536415182

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("alperiox/autonlp-user-review-classification-536415182", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("alperiox/autonlp-user-review-classification-536415182", use_auth_token=True)

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

outputs = model(**inputs)
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Dataset used to train alperiox/autonlp-user-review-classification-536415182