Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Basque
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use deepdml/whisper-small-eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdml/whisper-small-eu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="deepdml/whisper-small-eu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("deepdml/whisper-small-eu") model = AutoModelForSpeechSeq2Seq.from_pretrained("deepdml/whisper-small-eu") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:3461c8d50b62f11fad94b1a303b86f549ff39a5944a3bf3ddcfa3af8f36f71d1
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size 966995080
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