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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("deepdml/whisper-small-eu") model = AutoModelForSpeechSeq2Seq.from_pretrained("deepdml/whisper-small-eu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
3c1e846 -
Update README.md
db4a553 -
Update README.md
acd2aa6 -
Update README.md
e68a72f -
Update README.md
0abd295 -
update model card README.md
1af4c68 -
Model save
ad338dc -
Training in progress, step 5000
f34bff7 -
Training in progress, step 4000
dde8c31 -
Training in progress, step 3000
dcc666f -
Training in progress, step 2000
b0f43fa -
Training in progress, step 1000
60b7979
-
initial commit
b563630