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README.md
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---
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pipeline_tag: fill-mask
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widget:
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---
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pipeline_tag: fill-mask
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widget:
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- text: سن نجورسن [MASK]
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example_title: سن نجورسن [MASK]
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- text: بو [MASK] کتابی ده.
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example_title: بو [MASK] کتابی ده.
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language:
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- az
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metrics:
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- perplexity
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---
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# AzerBERT
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- Type: BERT-based language model transformer
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- Description: AzerBERT is a pre-trained language model specifically tailored for the Iranian Azerbaijani language. It can be used for various NLP tasks, including text classification, named entity recognition, and more.
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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("fill-mask", model="language-ml-lab/AzerBert")
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```
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```python
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForMaskedLM
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tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/AzerBert")
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model = AutoModelForMaskedLM.from_pretrained("language-ml-lab/AzerBert")
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```
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