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README.md
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@@ -18,20 +18,19 @@ This model is particularly useful for privacy-preserving tasks, such as anonymiz
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## Usage
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Example code:
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```python
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"token-classification",
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model=model_name,
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aggregation_strategy="simple",
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)
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[{'entity_group': 'mask', 'score': 0.6855897, 'word': 'Kowalski ,', 'start': 4, 'end': 13}, {'entity_group': 'mask', 'score': 0.65670776, 'word': 'Cichy', 'start': 26, 'end': 31}]
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```
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## License
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## Usage
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Example code:
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```python
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from transformers import pipeline
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model_name = "NASK-PIB/BANonymizer-PL"
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ner = pipeline(
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"token-classification",
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model=model_name,
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aggregation_strategy="simple",
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)
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text = "Pan Kowalski, znany jako 'Cichy', mieszka w Warszawie"
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result = ner(text)
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print(result)
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```
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## License
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