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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc343f302f28422ce50646138a7c3d230edd8795d7fbffb4e4d4ec1cc4dd7592
- Size of remote file:
- 3.06 GB
- SHA256:
- b4c944a986fc5de8e108e030d173ca7be653ef5468afb3f6b085e76e738c2ab8
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