README.md

metadata

license: apache-2.0
language:
  - tr
library_name: transformers
pipeline_tag: feature-extraction

TyRoberta Model

This repository provides a pretrained Roberta model for Turkish by Trendyol, named TyRoberta. The model is useful for various natural language understanding tasks, such as text classification, named entity recognition, and more.

How to use

from transformers import AutoTokenizer, RobertaModel

# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("Trendyol/tyroberta")
model = RobertaModel.from_pretrained("Trendyol/tyroberta")

# 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)