Automatic Speech Recognition
Transformers
PyTorch
Spanish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use danielizham/whisper-small-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielizham/whisper-small-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="danielizham/whisper-small-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("danielizham/whisper-small-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("danielizham/whisper-small-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
437f07d -
End of training
72efb0f -
update model card README.md
b6dcee7 -
Model save
ac68b76 -
Training in progress, step 5000
ed42ec5
-
Training in progress, step 4000
cbe0ded -
Training in progress, step 3000
088091b -
Training in progress, step 2000
e087383
-
Training in progress, step 1000
7a36179
-
Add a README file
18d6458
-
initial commit
ceab083