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:
- 0392406a8671dbe784f4bfb1e917a9b91987bcb216e55ef2245be82d7e76d6c8
- Size of remote file:
- 4.22 kB
- SHA256:
- a015a128dc0d85b4641a2bc1515cc082f5611234fde38ee20f555341d41fe219
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