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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b03176f0e403eaa1a1d4176b49e2f08d900b1a81786ada86085cdc4d203f38c0
- Size of remote file:
- 151 MB
- SHA256:
- 443d106bccbff2fa41b433be5fd111934a14bfdd34e061c0fe13bc36084ad5ec
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