Multilingual ZamAI Embeddings

Task: sentence-similarity / feature-extraction
Languages: multilingual, ps, en, ar, fa, ur

Overview

This model is part of the ZamAI Pashto language AI collection. It is fine-tuned/adapted for sentence-similarity / feature-extraction 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 sentence_transformers import SentenceTransformer

model = SentenceTransformer("tasal9/Multilingual-ZamAI-Embeddings")
sentences = ["دا یو جمله ده.", "This is a sentence.", "له تا څخه مننه"]
embeddings = model.encode(sentences)
print(embeddings.shape)

Training data

Training dataset details will be added here.

Evaluation

Metric	Value	Description
cosine_similarity	TBD	Add measured value
spearman_correlation	TBD	Add measured value

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

Citation

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

License

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

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