Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Spanish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use arpagon/whisper-tiny-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arpagon/whisper-tiny-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arpagon/whisper-tiny-es")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arpagon/whisper-tiny-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("arpagon/whisper-tiny-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d85599ce12117d79cd05002f4bcb8953b3b8e6d0d21ad72921a7283e404564e
- Size of remote file:
- 3.58 kB
- SHA256:
- b729fabbd23ae23fc30a4bdf63949154ef4c106b78a40e12a043dc973ff5e78b
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