tasal9/ZamAI-Pashto-Dataset-Cleaned
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How to use tasal9/ZamAI-Facebook-XLM-Pashto with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="tasal9/ZamAI-Facebook-XLM-Pashto") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tasal9/ZamAI-Facebook-XLM-Pashto", device_map="auto")Task: fill-mask
Languages: ps
Base model(s): FacebookAI/xlm-roberta-base
Training dataset(s): tasal9/ZamAI-Pashto-Dataset-Cleaned
This model is part of the ZamAI Pashto language AI collection. It is fine-tuned/adapted for fill-mask in Pashto and related languages.
from transformers import pipeline
pipe = pipeline("fill-mask", model="tasal9/ZamAI-Facebook-XLM-Pashto")
print(pipe("کابل د <mask> پلازمینه ده."))
The model was trained or fine-tuned on: tasal9/ZamAI-Pashto-Dataset-Cleaned.
| Metric | Value | Description |
|---|---|---|
| perplexity | TBD | Add measured value |
| accuracy | TBD | Add measured value |
Update this table with your measured results and link to the evaluation script/notebook.
@misc{zamai_pashto,
title = {{ZamAI Facebook XLM Pashto}},
author = {ZamAI / Yaqoob Tasal},
year = {2024},
howpublished = {\url{https://huggingface.co/tasal9/ZamAI-Facebook-XLM-Pashto}}
}
This model is released under the mit license.
Base model
FacebookAI/xlm-roberta-base