Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Basque
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-large-eu-cv16_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-large-eu-cv16_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-large-eu-cv16_1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-large-eu-cv16_1") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-large-eu-cv16_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a9e4ec370fee36a06d952001a39f883c19969b3e27245960400d00f7e6cf068
- Size of remote file:
- 4.79 kB
- SHA256:
- aed9ed7ccb86b17d7504edf3f383b9e171a6af989e690bc29536fed6b843540b
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