Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Spanish
whisper
asr
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:
- e49c08696b14f53700c151f8a78ddc30a6958fa8ae069ecb84d44c22f1723580
- Size of remote file:
- 4.92 kB
- SHA256:
- 37fe705ccfaacbdb629ed4ad71b687c43dc003bac48e69faa9063ae524a7ae1d
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