Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Scrya/whisper-medium-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Scrya/whisper-medium-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Scrya/whisper-medium-id")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Scrya/whisper-medium-id") model = AutoModelForSpeechSeq2Seq.from_pretrained("Scrya/whisper-medium-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a297475f6ff7aabde8aee288388c756e53c53ee09e70d0696cbc39ebf5f10f4d
- Size of remote file:
- 3.58 kB
- SHA256:
- e94a978e18b24c646193fae6e142d5234f7cb62e405948f6d06319cd01882645
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