Automatic Speech Recognition
Transformers
Safetensors
Basque
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use xezpeleta/whisper-base-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xezpeleta/whisper-base-eu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xezpeleta/whisper-base-eu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("xezpeleta/whisper-base-eu") model = AutoModelForSpeechSeq2Seq.from_pretrained("xezpeleta/whisper-base-eu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db7b97e0f9925f383226b27ea1cb1cdc48223b1cd3b75cf6a27111e8238913b5
- Size of remote file:
- 5.43 kB
- SHA256:
- 9af7a40aa7a00bb6012dd0f11d83508aa945a32d238fb5ce6165110fcc8d49e9
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