Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Nepali
whisper
Generated from Trainer
Instructions to use prakanda/whisper-tiny-nepali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prakanda/whisper-tiny-nepali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="prakanda/whisper-tiny-nepali")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("prakanda/whisper-tiny-nepali") model = AutoModelForSpeechSeq2Seq.from_pretrained("prakanda/whisper-tiny-nepali") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3520f5fde012fd6acbdceb0b05da987af04c6e26c5a048238db4ea6db1d990ca
- Size of remote file:
- 5.5 kB
- SHA256:
- bfe7c80f23c89592fa40b5cdf3d3b93f362b266a216c231ae5280143f1a25647
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