Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Shona
Venda
whisper
Generated from Trainer
Instructions to use CasperMuz/whisper-base-sna-ven-cleaned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CasperMuz/whisper-base-sna-ven-cleaned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CasperMuz/whisper-base-sna-ven-cleaned")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CasperMuz/whisper-base-sna-ven-cleaned") model = AutoModelForSpeechSeq2Seq.from_pretrained("CasperMuz/whisper-base-sna-ven-cleaned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1856bda235bd03f25d5ee1ad1f3a89019c78fc988e41777db3e8185b11bd7bfb
- Size of remote file:
- 5.39 kB
- SHA256:
- 127571f9ac23066538430d3188149e6e6bd22ba4f040bb8689d4c77b7f83af9a
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