Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
ASR
Papiamentu
Whisper
Speech Recognition
Generated from Trainer
Eval Results (legacy)
Instructions to use sonnygeorge/whisper-tiny-papi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sonnygeorge/whisper-tiny-papi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sonnygeorge/whisper-tiny-papi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sonnygeorge/whisper-tiny-papi") model = AutoModelForSpeechSeq2Seq.from_pretrained("sonnygeorge/whisper-tiny-papi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e31237e87d0ce68602cbd80e5ef865677aa19862924473d7486ccc874fe6fc12
- Size of remote file:
- 4.86 kB
- SHA256:
- e12b12201100933b410d8f57ecfbf9aaf6d769357a44edd27e498640b2fa7ca6
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