Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Tamil
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use Sonal0205/whisper-medium-ta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sonal0205/whisper-medium-ta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sonal0205/whisper-medium-ta")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sonal0205/whisper-medium-ta") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sonal0205/whisper-medium-ta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05e3bdca456d139f04a1870d40b5b7aea352b927a343808ea67588f29999d884
- Size of remote file:
- 5.24 kB
- SHA256:
- cda30830b69f1b4b5bed88cc0d403b87b96896d571c255d83a116258f8f3c3c5
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