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README.md
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example_title: سن نجورسن؟
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- text: من سنی سویرم.
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example_title: من سنی سویرم.
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example_title: سن نجورسن؟
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- text: من سنی سویرم.
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example_title: من سنی سویرم.
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---
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# POS Tagger
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Type: Fine-tuned BERT-based Part-of-Speech (POS) tagging model
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Description: This model has been fine-tuned using [AzerBERT](https://huggingface.co/language-ml-lab/AzerBert) for part-of-speech tagging tasks in Iranian Azerbaijani text. It can be used to annotate text with 11 POS tags, which is essential for various downstream NLP applications.
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## How to use
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```python
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("token-classification", model="language-ml-lab/postagger-azb")
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```
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```python
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/postagger-azb")
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model = AutoModelForTokenClassification.from_pretrained("language-ml-lab/postagger-azb")
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```
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