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
- Xet hash:
- 2e02c9f8d3599bf6679cf6e2eba1e767e7e6618a8ba34f0bc6bd375805adada8
- Size of remote file:
- 4.16 kB
- SHA256:
- 18034e6fb069b00d57f091943860ebcc19ce8dd2bb5e70f3b8c5f5c383252926
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