Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use TheRains/output-tiny-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/output-tiny-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/output-tiny-id")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/output-tiny-id") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/output-tiny-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae16959d1c8128f69c0c9f3e28014ccc1d1d1d01bf93fe53c705170da6a038c7
- Size of remote file:
- 151 MB
- SHA256:
- 9c2d7ce20e6c10a4ee475317dae31953cb50cc14acbd03c6446ceec9ff71797d
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