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yasarefe/
tai-1.1

Name: tai-1.1
Availability: InStock

yasarefe/turkish-texts-dataset-2

apache-2.0

autotrain_compatible

endpoints_compatible

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TAI-1.1: Turkish Language Model

TAI-1.1 (Turkish AI 1.1) is a fine-tuned BERT model for Turkish language understanding and processing tasks. This model is based on the "dbmdz/bert-base-turkish-cased" architecture and has been further trained on a diverse Turkish text dataset.

Model Details

Model Type: BERT (Bidirectional Encoder Representations from Transformers)
Language: Turkish
Base Model: dbmdz/bert-base-turkish-cased
Training Dataset: Turkish Texts Dataset 2
Tasks: Text Classification, Sentiment Analysis, Named Entity Recognition (NER)

Usage

You can use this model directly with the Hugging Face Transformers library:

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("yasarefe/tai-1.1")
model = AutoModelForSequenceClassification.from_pretrained("yasarefe/tai-1.1")

# Example usage
text = "Bu bir örnek Türkçe cümledir."
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)

Fine-tuning

This model can be fine-tuned for various downstream tasks such as sentiment analysis, text classification, or named entity recognition. Here's an example of how to fine-tune the model:

python

from transformers import Trainer, TrainingArguments

training_args = TrainingArguments(
    output_dir="./results",
    num_train_epochs=3,
    per_device_train_batch_size=16,
    per_device_eval_batch_size=64,
    warmup_steps=500,
    weight_decay=0.01,
    logging_dir="./logs",
)

trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=train_dataset,
    eval_dataset=eval_dataset,
)

trainer.train()

Limitations

While TAI-1.1 has been trained on a diverse dataset, it may still have biases or limitations:

The model's performance may vary depending on the specific domain or task.
It may not perform well on very specialized or technical Turkish texts.
The model may exhibit biases present in the training data.

Citation

If you use this model in your research, please cite:

@misc{tai-1.1,
  author = {Yasar Efe},
  title = {TAI-1.1: Turkish Language Model},
  year = {2024},
  publisher = {HuggingFace},
  journal = {HuggingFace Model Hub},
  howpublished = {\url{https://huggingface.co/yasarefe/tai-1.1}},
}

Contact

For any questions or feedback, please open an issue on the model repository or contact the author directly.