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:
- 365fc22f02c7ff1607857b9e3df7aa3766bbcac3ee49dc3e95571c921a99fe4d
- Size of remote file:
- 4.92 kB
- SHA256:
- 85a5665813efe37af3cdd1ab1537042a0b62b76489081694ac7788c753ac7fd1
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