Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Spanish
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use deepdml/whisper-tiny-es-mix-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdml/whisper-tiny-es-mix-norm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="deepdml/whisper-tiny-es-mix-norm")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("deepdml/whisper-tiny-es-mix-norm") model = AutoModelForSpeechSeq2Seq.from_pretrained("deepdml/whisper-tiny-es-mix-norm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1572e7e9030935f6e02e13d73986b1f6f1df9875e7e00dcf35e911291bc36e38
- Size of remote file:
- 5.5 kB
- SHA256:
- 2bc681509f0e04a961807af0927cebedc3a8fa32defdaccea331e02dd98e9101
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