Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Marathi
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use var2093/whisper-tiny-mr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use var2093/whisper-tiny-mr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="var2093/whisper-tiny-mr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("var2093/whisper-tiny-mr") model = AutoModelForSpeechSeq2Seq.from_pretrained("var2093/whisper-tiny-mr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e79e34624885181efec61b32af5c4d23dc4fa9422d0d6b3a68a0ba4ba84c42f
- Size of remote file:
- 151 MB
- SHA256:
- 4b3631000d91ee79e4750310dc3595064f2a751133002500869ae8ef59535686
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