Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use umarigan/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umarigan/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="umarigan/whisper-tiny-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("umarigan/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("umarigan/whisper-tiny-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2482c2c9167c333cc67f561acaf2af699df9b6a2fa8ca0ade3239ff975e4941
- Size of remote file:
- 5.37 kB
- SHA256:
- 4e5b34dadcaf5e578b4b6748d757aaaa08c60e318142b0740a2cdf894c4ba9f5
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