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)
Runs of Trendyol tyroberta on huggingface.co
28
Total runs
0
24-hour runs
0
3-day runs
-76
7-day runs
-81
30-day runs
More Information About tyroberta huggingface.co Model
tyroberta huggingface.co is an AI model on huggingface.co that provides tyroberta's model effect (), which can be used instantly with this Trendyol tyroberta model. huggingface.co supports a free trial of the tyroberta model, and also provides paid use of the tyroberta. Support call tyroberta model through api, including Node.js, Python, http.
tyroberta huggingface.co is an online trial and call api platform, which integrates tyroberta's modeling effects, including api services, and provides a free online trial of tyroberta, you can try tyroberta online for free by clicking the link below.
Trendyol tyroberta online free url in huggingface.co:
tyroberta is an open source model from GitHub that offers a free installation service, and any user can find tyroberta on GitHub to install. At the same time, huggingface.co provides the effect of tyroberta install, users can directly use tyroberta installed effect in huggingface.co for debugging and trial. It also supports api for free installation.