Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Marathi
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use shripadbhat/whisper-tiny-mr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shripadbhat/whisper-tiny-mr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shripadbhat/whisper-tiny-mr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shripadbhat/whisper-tiny-mr") model = AutoModelForSpeechSeq2Seq.from_pretrained("shripadbhat/whisper-tiny-mr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da8426f22801a2e50ca8e8b753a96b6ef08d68bea69da63bdfd2defb0a041f31
- Size of remote file:
- 3.64 kB
- SHA256:
- 5be237ff72d0fabc5cd680ddcb7125cb280c13259b0f8f9d9904f724ba166169
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