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WindstormLabs/
listen-windy-lingua-ps-ct2

transformers

automatic-speech-recognition

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WindyWord.ai STT — Pashto Lingua (CPU INT8 (CTranslate2))

Transcribes Pashto speech (Indo-European > Indo-Iranian > Iranian).

Note: EXCELLENT tier when used correctly. Derived from ihanif/whisper-medium-pashto. Verified at WER 5.3% / CER 3.2% / script-match 99.2% on 50-sample FLEURS ps_af when inference uses forced_decoder_ids (passed explicitly to model.generate() via processor.get_decoder_prompt_ids(language='pashto', task='transcribe')). With the convenience language= kwarg the model can silently drop the Pashto token and hallucinate English script on ~30% of samples (53.7% WER artifact). Always force the decoder prompt for Pashto inference.

Quality

WER: unverified by WindyWord harness yet. Imported from upstream community fine-tune.

About this variant

This is the ct2-int8 deployment format of our Pashto Lingua STT model. Load it via the ct2-int8/ subfolder.

Part of the WindyWord.ai STT fleet — covering 35+ languages that commercial speech-to-text APIs underserve, with proper dialect / script disclosures where they matter.

Usage

python

from transformers import WhisperForConditionalGeneration, WhisperProcessor
processor = WhisperProcessor.from_pretrained("WindyWord/listen-windy-lingua-ps-ct2", subfolder="ct2-int8")
model = WhisperForConditionalGeneration.from_pretrained("WindyWord/listen-windy-lingua-ps-ct2", subfolder="ct2-int8")

Commercial Use

Visit windyword.ai for apps and API access.

Provenance & License

Weights derived from upstream community Whisper fine-tunes (see individual model card for exact lineage). Redistributed under Apache-2.0 (inherited).

Certified by Opus 4.6 Opus-Claw (Dr. C) on Veron-1 (RTX 5090, Mt Pleasant SC).

WindstormLabs/listen-windy-lingua-ps-ct2