Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use kaanhho/whisper-tiny-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaanhho/whisper-tiny-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kaanhho/whisper-tiny-01")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kaanhho/whisper-tiny-01") model = AutoModelForSpeechSeq2Seq.from_pretrained("kaanhho/whisper-tiny-01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c09085502f50f877f9ecc40ff31006a6c921ab041107eb6db3cc6130e357809
- Size of remote file:
- 151 MB
- SHA256:
- 67b4f6cab04b96f770c3fe5dfd4f893fc9db4d48d33048b61d083ad37ad5c157
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