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kaan84
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Model Details
Model Provider
kaan84
Model Tree
openai/whisper-small
Input Modalities
Output Modalities
Supported Functionality
This model appears to share the same base architecture, parameter count, task, and training-dataset tag as kaan84/whisper-small-sinhala-proto. If both repositories contain equivalent weights, consider keeping one as the canonical prototype and marking the other as archived or superseded to reduce user confusion.
| Item | Value |
|---|---|
| Task | Automatic speech recognition |
| Language | Sinhala (si) |
| Base model | openai/whisper-small |
| Model class | AutoModelForSpeechSeq2Seq |
| Parameters | Approximately 241.7M |
| Training dataset tag | large-sinhala-asr-dataset |
| Status | Experimental prototype |
python
from transformers import pipeline transcriber = pipeline( "automatic-speech-recognition", model="kaan84/whisper-sinhala-proto",) result = transcriber( "sample.wav", generate_kwargs={"language": "si", "task": "transcribe"},)print(result["text"])This prototype is not documented or evaluated sufficiently for high-impact production use.
To complete this model card, add:
openai/whisper-small modelThe model may hallucinate, omit, or incorrectly transcribe speech. Performance can vary with audio quality, noise, code-switching, accent, vocabulary, and speaker characteristics. Human review is necessary when accuracy matters.
Apache License 2.0. Confirm compatibility with the base-model license and every dataset or audio source used during fine-tuning.
kaan84/whisper-small-sinhala-v1kaan84/whisper-small-sinhala-protofrom transformers import pipeline transcriber = pipeline( "automatic-speech-recognition", model="kaan84/whisper-sinhala-proto",) result = transcriber( "sample.wav", generate_kwargs={"language": "si", "task": "transcribe"},)print(result["text"])