Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Javanese
whisper
javanese
asr
Generated from Trainer
Instructions to use bagasshw/whisper-tiny-javanese-openslr-v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bagasshw/whisper-tiny-javanese-openslr-v8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bagasshw/whisper-tiny-javanese-openslr-v8")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bagasshw/whisper-tiny-javanese-openslr-v8") model = AutoModelForSpeechSeq2Seq.from_pretrained("bagasshw/whisper-tiny-javanese-openslr-v8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba247ae4f102c6577729262812b46a0ad031197e944fc41a85e0377dfe850fba
- Size of remote file:
- 6.1 kB
- SHA256:
- 05a120b4d290ce2c7cb991a3ecad42f325ae81f35e944f0f4d32e5c8cef0c610
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