Automatic Speech Recognition
Transformers
PyTorch
Basque
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-large-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-large-eu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-large-eu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-large-eu") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-large-eu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71d6cbfbf65aa9e37d7080419d3d4c8743b26c7decf9f0c2835bb7abfbebacaf
- Size of remote file:
- 4.16 kB
- SHA256:
- 0de7a4fda030e4310fdbdababe75ef25b10a0429cc4cd8ddf37b3aa5da196489
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