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:
- f6f8211d2368e2f31892ab70d9317b52971b75010de4cf7e0e7491f5786f0d83
- Size of remote file:
- 151 MB
- SHA256:
- fc0ef323efb42cf8d067c3116b39133f5b26c10c1fb287acdd6c66128b64eb05
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