Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-small-eu-cv22.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-small-eu-cv22.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-small-eu-cv22.0")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-small-eu-cv22.0") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-small-eu-cv22.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 093bfb42f52375dcb9681a5ca78115c68c87fe322f09e9501eaeda9b3b17d452
- Size of remote file:
- 5.43 kB
- SHA256:
- 00f91e8b7b0652f2d73acff220f9aa6b7e19c2894c21a66ad2a17bd09b405e9a
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