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README.md
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---
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license: cc-by-nc-4.0
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language:
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- en
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base_model:
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- answerdotai/ModernBERT-base
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pipeline_tag: text-classification
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tags:
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- synthetic data
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---
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```python
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from transformers import pipeline
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# Load model
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classifier = pipeline('text-classification', model='tabularisai/ModernFinBERT')
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# Test sentences
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sentences = [
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"The company reported strong quarterly earnings with revenue growth of 15% year-over-year, exceeding analyst expectations.",
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"Due to rising inflation and supply chain disruptions, the Federal Reserve decided to increase interest rates by 0.75 basis points.",
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"The merger between the two pharmaceutical giants is expected to create significant synergies and reduce operational costs by $2 billion annually."
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]
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# Evaluate
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for i, sentence in enumerate(sentences, 1):
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result = classifier(sentence)
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print(f"Sentence {i}: {result[0]['label']} ({result[0]['score']:.3f})")
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```
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