Tybert

🚀 TyBert Model

This repository offers a pre - trained Bert model for Turkish by Trendyol, known as TyBert. It is valuable for multiple natural language understanding tasks, including text classification and named entity recognition.

🚀 Quick Start

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.

💻 Usage Examples

Basic Usage

from transformers import BertTokenizer, BertModel

# Load the tokenizer and model
tokenizer = BertTokenizer.from_pretrained("Trendyol/tybert")
model = BertModel.from_pretrained("Trendyol/tybert")

# Define a sample text
text = "Filenin Sultanları ilk maçını 29 Temmuz'da Hollanda'ya karşı oynayacak."

# Tokenize and encode the input text
encoded_input = tokenizer(text, return_tensors='pt')

# Get the model's output
output = model(**encoded_input)

print(output)

📄 License

The model is licensed under the Apache - 2.0 license.