ZamAI QA Pashto

Task: question-answering
Languages: ps, en
Training dataset(s): tasal9/ZamAI_Pashto_Dataset

Overview

This model is part of the ZamAI Pashto language AI collection. It is fine-tuned/adapted for question-answering in Pashto and related languages.

Intended uses & limitations

  • Use for research, prototyping, and production assistance in Pashto NLP.
  • Evaluate outputs carefully before deploying in high-stakes applications.
  • May reflect biases present in the pre-training or fine-tuning data.

How to use

from transformers import pipeline

qa = pipeline("question-answering", model="tasal9/ZamAI-QA-Pashto")
context = "کابل د افغانستان پلازمینه ده."
question = "د افغانستان پلازمینه څه ده؟"
print(qa(question=question, context=context))

Training data

The model was trained or fine-tuned on: tasal9/ZamAI_Pashto_Dataset.

Evaluation

Metric Value Description
exact_match TBD Add measured value
f1 TBD Add measured value

Update this table with your measured results and link to the evaluation script/notebook.

Citation

@misc{zamai_pashto,
  title = {{ZamAI QA Pashto}},
  author = {ZamAI / Yaqoob Tasal},
  year = {2024},
  howpublished = {\url{https://huggingface.co/tasal9/ZamAI-QA-Pashto}}
}

License

This model is released under the "apache-2.0" license.

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Dataset used to train tasal9/ZamAI-QA-Pashto