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1from transformers import pipeline
2
3classifier = pipeline("text-classification", model="tasal9/ZamAI-Sentiment-Pashto")
4print(classifier("دا ډیره ښه خبره ده"))| 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.
1@misc{zamai_pashto,
2 title = {{ZamAI Sentiment Pashto}},
3 author = {ZamAI / Yaqoob Tasal},
4 year = {2024},
5 howpublished = {\url{https://huggingface.co/tasal9/ZamAI-Sentiment-Pashto}}
6}