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Independent publisher

Ali Nawaz

alinawazmahar

Models in Library1
Datasets in Library0
Models on Hugging Face4
Followers3

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text classification.

Reported licenses: mit. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text classification

sindhi-sentiment-xlmr

Ali Nawaz

Research and education on Sindhi NLP, and as a starting point for sentiment tools on short, single-sentence Sindhi text. - Input is expected to be Sindhi in Arabic script, cleaned with the project's cleantext (Unicode NFKC, invisible characters removed, whitespace normalized) before prediction. - Decisions about people (employment, credit, moderation or legal outcomes) without human review. - Text far from the training data: long documents, social-media slang or code-mixed text, other languages or other Sindhi scripts, sarcasm-heavy text. These are untested. - Measuring sentiment of a population or topic without checking accuracy on that kind of text first. Natural dataset (human-labeled).…

Open weights mit 278M parameters 514 tokens transformers