Instructions to use istomin9192/whisper-small-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use istomin9192/whisper-small-sr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="istomin9192/whisper-small-sr")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("istomin9192/whisper-small-sr") model = AutoModelForMultimodalLM.from_pretrained("istomin9192/whisper-small-sr") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files# Whisper Small Serbian (sr) — fine-tuned
This is a fine-tuned version of `openai/whisper-small` for Serbian ASR (transcription).
It is optimized for **Serbian Latin** output and tuned for better WER on Serbian speech.
## Highlights
- Base model: `openai/whisper-small`
- Task: transcription (`task="transcribe"`)
- Language: Serbian (`language="sr"`)
- Output: Serbian Latin (text normalization applied in evaluation)
- Decoding: greedy (`num_beams=1`)