Instructions to use devkyle/whisper-tiny-10dp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/whisper-tiny-10dp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/whisper-tiny-10dp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/whisper-tiny-10dp") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/whisper-tiny-10dp") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
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runs/Sep16_06-20-55_f447a4375dea/events.out.tfevents.1726467657.f447a4375dea.573.0
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