Automatic Speech Recognition
Transformers
PyTorch
JAX
Tamil
whisper
whisper-event
Eval Results (legacy)
Instructions to use santhakumar/whisper-tamil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use santhakumar/whisper-tamil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="santhakumar/whisper-tamil")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("santhakumar/whisper-tamil") model = AutoModelForSpeechSeq2Seq.from_pretrained("santhakumar/whisper-tamil") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb67751014fb31afe204742b7fcefe92c797e28d27bcfc0bcd8834182ecf5afa
- Size of remote file:
- 1.88 GB
- SHA256:
- fee2755e64b2c92a6fddd3c6541b367a20788ab984e3c24aa1b97c6875465cd7
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