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Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 22144706
  • CO2 Emissions (in grams): 27.135492487925884

Validation Metrics

  • Loss: 1.81697416305542
  • Accuracy: 0.6377269139700079
  • Macro F1: 0.5181293370145044
  • Micro F1: 0.6377269139700079
  • Weighted F1: 0.631117826235572
  • Macro Precision: 0.5371452512845428
  • Micro Precision: 0.6377269139700079
  • Weighted Precision: 0.6655055695465463
  • Macro Recall: 0.5609328178925124
  • Micro Recall: 0.6377269139700079
  • Weighted Recall: 0.6377269139700079

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/Jeska/autonlp-vaccinfaq-22144706

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Jeska/autonlp-vaccinfaq-22144706", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Jeska/autonlp-vaccinfaq-22144706", use_auth_token=True)

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

outputs = model(**inputs)
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Dataset used to train Jeska/autonlp-vaccinfaq-22144706