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--- |
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license: apache-2.0 |
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language: |
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- tr |
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library_name: transformers |
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pipeline_tag: feature-extraction |
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--- |
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# TyBert Model |
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This repository provides a pretrained Bert model for Turkish by Trendyol, named TyBert. The model is useful for various natural language understanding tasks, such as text classification, named entity recognition, and more. |
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## How to use |
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```python |
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from transformers import BertTokenizer, BertModel |
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# Load the tokenizer and model |
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tokenizer = BertTokenizer.from_pretrained("Trendyol/tybert") |
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model = BertModel.from_pretrained("Trendyol/tybert") |
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# Define a sample text |
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text = "Filenin Sultanları ilk maçını 29 Temmuz'da Hollanda'ya karşı oynayacak." |
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# Tokenize and encode the input text |
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encoded_input = tokenizer(text, return_tensors='pt') |
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# Get the model's output |
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output = model(**encoded_input) |
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print(output) |
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``` |
