Automatic Speech Recognition
Transformers
PyTorch
English
whisper
nyansapo_ai-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use eai6/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eai6/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eai6/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("eai6/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("eai6/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df8498ab348b68c598e1789df063f46d808cb78c999e80f16b421fe393a305c5
- Size of remote file:
- 151 MB
- SHA256:
- 74ef6cb03d5345294d5249b86e928a176c72af63df226d9bf971909da2a2b31b
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