Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Spanish
whisper
Generated from Trainer
Instructions to use rjac/whisper-tiny-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rjac/whisper-tiny-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rjac/whisper-tiny-spanish")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rjac/whisper-tiny-spanish") model = AutoModelForSpeechSeq2Seq.from_pretrained("rjac/whisper-tiny-spanish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b9d2a75e29bddc9a4c1475203c418996b91eb4f0c470ed6e4794ce7c08adbfb
- Size of remote file:
- 3.77 kB
- SHA256:
- 375e69175de394dd5b7ffc94dd94c849da47250639bb2f12398c3ffa71add2cd
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