Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Serbian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Stopwolf/whisper-small-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stopwolf/whisper-small-sr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Stopwolf/whisper-small-sr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Stopwolf/whisper-small-sr") model = AutoModelForSpeechSeq2Seq.from_pretrained("Stopwolf/whisper-small-sr") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b2d09d908d6d3dc8849951eb93e4f6bb364fe99989a2a6a5413220ccf7d028c
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size 966995136
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