Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Mongolian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use student2008/whisper-tiny-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use student2008/whisper-tiny-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="student2008/whisper-tiny-es")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("student2008/whisper-tiny-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("student2008/whisper-tiny-es") - Notebooks
- Google Colab
- Kaggle
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# Whisper Small Es - Sanchit Gandhi
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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# Whisper Tiny Mongolian - Cheryl
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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