Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Belarusian
whisper
whisper-event
Generated from Trainer
Instructions to use shripadbhat/whisper-medium-be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shripadbhat/whisper-medium-be with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shripadbhat/whisper-medium-be")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shripadbhat/whisper-medium-be") model = AutoModelForSpeechSeq2Seq.from_pretrained("shripadbhat/whisper-medium-be", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e54bbc6d18543476662926c8df7f35c03cc95eb392682689daa6228667e7c6af
- Size of remote file:
- 3.64 kB
- SHA256:
- c862bba4f21f3afa08c9c6d2f2ffc3e9fe141cdd078f631a0c8e586e3dd388f3
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