Automatic Speech Recognition
Transformers
TensorBoard
ONNX
Safetensors
English
whisper
Generated from Trainer
Instructions to use simodo79/whisper-small-vdv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simodo79/whisper-small-vdv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simodo79/whisper-small-vdv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simodo79/whisper-small-vdv") model = AutoModelForSpeechSeq2Seq.from_pretrained("simodo79/whisper-small-vdv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Whisper Small Vdv
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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- Wer: 0.0
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# Whisper Small Vdv
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vaudeville dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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- Wer: 0.0
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