Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Instructions to use vopatech/whisper-small-trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vopatech/whisper-small-trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vopatech/whisper-small-trained")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vopatech/whisper-small-trained") model = AutoModelForSpeechSeq2Seq.from_pretrained("vopatech/whisper-small-trained") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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### Framework versions
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| No log | 1.0 | 6 | 0.6953 | 102.3585 |
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### Framework versions
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