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Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 23044997
  • CO2 Emissions (in grams): 4.819872182577655

Validation Metrics

  • Loss: 0.001594889909029007
  • Accuracy: 0.9997478885667465
  • Macro F1: 0.9991190902836993
  • Micro F1: 0.9997478885667465
  • Weighted F1: 0.9997476735518704
  • Macro Precision: 0.9998014460161265
  • Micro Precision: 0.9997478885667465
  • Weighted Precision: 0.9997479944069787
  • Macro Recall: 0.9984426545713851
  • Micro Recall: 0.9997478885667465
  • Weighted Recall: 0.9997478885667465

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/Monsia/autonlp-tweets-classification-23044997

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Monsia/autonlp-tweets-classification-23044997", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Monsia/autonlp-tweets-classification-23044997", use_auth_token=True)

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

outputs = model(**inputs)
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