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tasal9/ZamAI-Sentiment-Pashto
ZamAI-Sentiment-Pashto is a text classification model from tasal9. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
Task: text-classification Languages: ps, en Training dataset(s): tasal9/ZamAIPashtoDataset
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From the Hugging Face model README
Task: text-classification
Languages: ps, en
Training dataset(s): tasal9/ZamAI_Pashto_Dataset
This model is part of the ZamAI Pashto language AI collection. It is fine-tuned/adapted for text-classification in Pashto and related languages.
from transformers import pipeline
classifier = pipeline("text-classification", model="tasal9/ZamAI-Sentiment-Pashto")
print(classifier("دا ډیره ښه خبره ده"))
The model was trained or fine-tuned on: tasal9/ZamAI_Pashto_Dataset.
| 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.
@misc{zamai_pashto,
title = {{ZamAI Sentiment Pashto}},
author = {ZamAI / Yaqoob Tasal},
year = {2024},
howpublished = {\url{https://huggingface.co/tasal9/ZamAI-Sentiment-Pashto}}
}
This model is released under the "apache-2.0" license.