Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use pranay-j/whisper-small-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pranay-j/whisper-small-hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pranay-j/whisper-small-hindi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pranay-j/whisper-small-hindi") model = AutoModelForSpeechSeq2Seq.from_pretrained("pranay-j/whisper-small-hindi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 087b260cc82e2ca883419f6c34990480fdff936fb2f0b1db6720f99f1188b86c
- Size of remote file:
- 967 MB
- SHA256:
- 3247c2d7c466c408b8a6b6db7a4fbfaef5fe9d3ad9899053bf76765dcc9be60f
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