Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use PolyChirag/Marathi_ASR_using_Whisper_Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PolyChirag/Marathi_ASR_using_Whisper_Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="PolyChirag/Marathi_ASR_using_Whisper_Small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("PolyChirag/Marathi_ASR_using_Whisper_Small") model = AutoModelForSpeechSeq2Seq.from_pretrained("PolyChirag/Marathi_ASR_using_Whisper_Small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,255 Bytes
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