Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use evanarlian/whisper-base-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evanarlian/whisper-base-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="evanarlian/whisper-base-id")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("evanarlian/whisper-base-id") model = AutoModelForSpeechSeq2Seq.from_pretrained("evanarlian/whisper-base-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f878b829ebac2c253363e1fbfee1f01bb403a33f1ed24d47f36876d4b7a1a2b
- Size of remote file:
- 290 MB
- SHA256:
- f784ac34a8819ed483872d0f5190a3e572432707f247a59670a277fe197e4a3a
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