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Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 623817873
  • CO2 Emissions (in grams): 147.38973865706626

Validation Metrics

  • Loss: 0.2412157654762268
  • Accuracy: 0.9306
  • Precision: 0.9377795851972347
  • Recall: 0.9224
  • AUC: 0.97000504
  • F1: 0.9300262149626941

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/chiragme/autonlp-imdb-sentiment-analysis-623817873

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("chiragme/autonlp-imdb-sentiment-analysis-623817873", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("chiragme/autonlp-imdb-sentiment-analysis-623817873", use_auth_token=True)

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

outputs = model(**inputs)
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