Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Alexao/whisper-tiny-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alexao/whisper-tiny-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Alexao/whisper-tiny-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Alexao/whisper-tiny-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("Alexao/whisper-tiny-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a8bd046e2472f29444df59a1f346b6712e750113d2ba6883958455882e122a6
- Size of remote file:
- 3.5 kB
- SHA256:
- 703554c7a603339ce62fa628dd67741e9ad7f7adf773138f42c9c62ace9c5599
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