Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Basque
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use xezpeleta/whisper-medium-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xezpeleta/whisper-medium-eu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xezpeleta/whisper-medium-eu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("xezpeleta/whisper-medium-eu") model = AutoModelForSpeechSeq2Seq.from_pretrained("xezpeleta/whisper-medium-eu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Xabi Ezpeleta commited on
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Parent(s): 5442d45
ggml updated v25.02-r1
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