Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-medium-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-medium-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-medium-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-medium-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-medium-tr") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): d09affa
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README.md
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## Model description
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The model is fine-tuned for 1000 steps/updates.
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Zero-shot - 20.89 (CV11)
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Fine-tune on CV11 - 10.50 (CV11) (-49%)
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Zeroshot - 10.4 (Google Fluers)
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Fine-tune on CV11 - 9.26 (Google Fluers)
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## Intended uses & limitations
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## Model description
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The model is fine-tuned for 1000 steps/updates.
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- Zero-shot - 20.89 (CV11)
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- Fine-tune on CV11 - 10.50 (CV11) (-49%)
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- Zeroshot - 10.4 (Google Fluers)
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- Fine-tune on CV11 - 9.26 (Google Fluers)
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## Intended uses & limitations
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