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---
datasets:
- SajjadAyoubi/persian_qa
language:
- fa
pipeline_tag: question-answering
license: apache-2.0
library_name: transformers
tags:
- roberta
- question-answering
- Persian
---
# Tara-Roberta-Base-FA-QA
**Tara-Roberta-Base-FA-QA** is a fine-tuned version of the `facebookAI/roberta-base` model for question-answering tasks, trained on the [SajjadAyoubi/persian_qa](https://huggingface.co/datasets/SajjadAyoubi/persian_qa) dataset. This model is designed to understand and generate answers to questions posed in Persian.
## Model Description
This model was fine-tuned on a dataset containing Persian question-answering pairs. It leverages the `roberta-base` architecture to provide answers based on the context provided. The training process was performed with a focus on improving the model's ability to handle Persian text and answer questions effectively.
## Usage
To use this model for question-answering tasks, load it with the `transformers` library:
```python
from transformers import AutoTokenizer, AutoModelForQuestionAnswering, pipeline
model = "hosseinhimself/tara-roberta-base-fa-qa"
# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(model)
model = AutoModelForQuestionAnswering.from_pretrained(model)
# Create a QA pipeline
qa_pipeline = pipeline("question-answering", model=model, tokenizer=tokenizer)
# Example usage
context = "شرکت فولاد مبارکه در سال 1371 تأسیس شد."
question = "چه زمانی شرکت فولاد مبارکه تأسیس شد؟"
# Modify the pipeline to return answer
results = qa_pipeline(question=question, context=context)
# Display the answer
print(results['answer'])
```
## Datasets
The model was fine-tuned using the [SajjadAyoubi/persian_qa](https://huggingface.co/datasets/SajjadAyoubi/persian_qa) dataset.
## Languages
The model supports the Persian language.
## Additional Information
For more details on how to fine-tune similar models or to report issues, please visit the [Hugging Face documentation](https://huggingface.co/docs/transformers). |