ZamAI Sentiment Pashto

Task: text-classification
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 text-classification 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

classifier = pipeline("text-classification", model="tasal9/ZamAI-Sentiment-Pashto")
print(classifier("دا ډیره ښه خبره ده"))

Training data

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

Evaluation

Metric Value Description
accuracy TBD Add measured value
f1 TBD Add measured value
precision TBD Add measured value
recall TBD Add measured value

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

Citation

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

License

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

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