Automatic Speech Recognition
Transformers
PyTorch
Tamil
whisper
whisper-event
Generated from Trainer
Instructions to use parambharat/whisper-tiny-ta-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parambharat/whisper-tiny-ta-example with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="parambharat/whisper-tiny-ta-example")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("parambharat/whisper-tiny-ta-example") model = AutoModelForSpeechSeq2Seq.from_pretrained("parambharat/whisper-tiny-ta-example") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:677822523b47e5803a3e3ce83267ae7479586753ed2510c31299b987708b78a9
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size 151061672
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