tara-roberta-base-fa-qa

Tara

<img src="https://huggingface.co/hosseinhimself/tara-roberta-base-fa-qa/resolve/main/OIG1.jpeg" alt="Model Image" width="400" height="400">

Tara is a fine-tuned version of the facebookAI/roberta-base model for question-answering tasks, trained on the 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:

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 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.