Tutorials

Step-by-step walk-throughs, each ending with something you can check.

Tutorial	You will	Needs
Classify a CSV file	score every row of a spreadsheet and review the uncertain ones	sindhi-nlp[transformers]
Evaluate on your own data	measure a model on sentences you labeled, find its worst mistakes	a labeled CSV
Train on your own data	prepare splits, train the baseline in seconds, optionally fine-tune XLM-R	a labeled CSV; a GPU for XLM-R
Serve the API	run the HTTP service and call it from Python and curl	sindhi-nlp[api,transformers]

Conventions: commands are shown for a Unix shell; on Windows PowerShell they are the same unless noted. Output blocks marked toy model come from real runs of a tiny model trained for these docs, to show the exact format. Numbers from the published model are only quoted from the Results page.