Instructions to use alphaedge-ai/whisper-small-ind-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphaedge-ai/whisper-small-ind-16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="alphaedge-ai/whisper-small-ind-16384")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("alphaedge-ai/whisper-small-ind-16384") model = AutoModelForSpeechSeq2Seq.from_pretrained("alphaedge-ai/whisper-small-ind-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model card for Indonesian
Browse files
README.md
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| Metric | Original | Trimmed | Reduction |
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| **Vocabulary size** | 51,865 tokens | 16,384 tokens | **68.41%** |
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| Metric | Original | Trimmed | Reduction |
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| **Vocabulary size** | 51,865 tokens | 16,384 tokens | **68.41%** |
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| **Model size** | 241,734,912 params | 214,485,504 params | **11.27%** |
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