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Model Trained Using AutoTrain

  • Problem type: Entity Extraction
  • Model ID: 69812137999
  • CO2 Emissions (in grams): 0.1437

Validation Metrics

  • Loss: 0.000
  • Accuracy: 1.000
  • Precision: 1.000
  • Recall: 0.999
  • F1: 0.999

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/callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999

Or Python API:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999", use_auth_token=True)

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

outputs = model(**inputs)
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124M params
Tensor type
I64
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F32
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Inference Examples
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Dataset used to train folkopinion/bert-political-statements-and-questions-swedish-ner