Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Shona
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use CasperMuz/whisper-medium-sna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CasperMuz/whisper-medium-sna with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CasperMuz/whisper-medium-sna")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CasperMuz/whisper-medium-sna") model = AutoModelForSpeechSeq2Seq.from_pretrained("CasperMuz/whisper-medium-sna", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 045153ed2f7c82d7a096ce7c40701f587cbfc5f43884e07fdd08d85bcb960cb3
- Size of remote file:
- 5.33 kB
- SHA256:
- 2d49217d8584f5474fc13b18ae86583c2eace812bd75356bd019b7ae81d6a202
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