Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use cahya/whisper-medium-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/whisper-medium-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cahya/whisper-medium-id")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cahya/whisper-medium-id") model = AutoModelForSpeechSeq2Seq.from_pretrained("cahya/whisper-medium-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44d813f45756b431255b7d7ce334089084dc349c5fb069c8d955697e3bde20c3
- Size of remote file:
- 3.63 kB
- SHA256:
- 85c5bda0cb282d439b4f26a07f1653f6ec8d6f1653ab0f30f0082941efdec888
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