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 filesCommon Voice Scripted Speech 24.0 - Serbian
README.md
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- sr
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base_model:
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- openai/whisper-small
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---
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- sr
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base_model:
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- openai/whisper-small
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datasets:
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- google/fleurs
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- Sagicc/audio-lmb-ds
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- espnet/yodas_owsmv4
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- classla/ParlaSpeech-RS
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metrics:
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- wer
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library_name: transformers
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