Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use devesh-2002/whisper-small-marathi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devesh-2002/whisper-small-marathi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devesh-2002/whisper-small-marathi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devesh-2002/whisper-small-marathi") model = AutoModelForSpeechSeq2Seq.from_pretrained("devesh-2002/whisper-small-marathi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66e2e7595166cd8d2fc907fcec81c9fdd0d31244cfd0db398840dc18718ccd9b
- Size of remote file:
- 5.43 kB
- SHA256:
- 60755c34e2e1169d88f72c2f46e93132552a8d32f7a13d34401285937e4f904f
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