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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8bf88dd73c0af6823ec446b8d371bc6c5035ca0c7d0df09d31aedd504538591
- Size of remote file:
- 3.58 kB
- SHA256:
- 2b0a13387c6a165c5ee2496ce3514dfbb4a41158b2f45a2d9c6aa1c661644546
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