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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: Example 1 |
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- text: بو [MASK] کتابی ده. |
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example_title: Example 2 |
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- text: دیل [MASK] اؤنملی دیر. |
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example_title: Example 3 |
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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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``` |
