Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Scrya/whisper-tiny-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Scrya/whisper-tiny-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Scrya/whisper-tiny-id")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Scrya/whisper-tiny-id") model = AutoModelForSpeechSeq2Seq.from_pretrained("Scrya/whisper-tiny-id") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 069a706bacd9e154d842bfbe5b8457c08092e3c730e591e331c13d7e3354824f
- Size of remote file:
- 151 MB
- SHA256:
- 6b9789f57a8facd7fe309a494091a0d3644a7ba8b9424cb65883570f47595f0f
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