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tyroberta
Trendyol/tyroberta
tyroberta is a feature extraction model from Trendyol. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as apache-2.0.
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…
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jun 25, 2024
- Updated
- Jul 13, 2024
- SHA
- 9b10cf7e
Model card
From the Hugging Face model README
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)
- Task
- Feature Extraction
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- tr
- Created
- Jun 25, 2024
- Updated
- Jul 13, 2024