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Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 7324788
  • CO2 Emissions (in grams): 10.435358044493652

Validation Metrics

  • Loss: 0.08991389721632004
  • Accuracy: 0.9708090976211485
  • Precision: 0.8998421675654347
  • Recall: 0.9309429854401959
  • F1: 0.9151284109149278

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/lewtun/autotrain-acronym-identification-7324788

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("lewtun/autotrain-acronym-identification-7324788", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lewtun/autotrain-acronym-identification-7324788", use_auth_token=True)

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

outputs = model(**inputs)
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Dataset used to train lewtun/autotrain-acronym-identification-7324788

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Evaluation results