Instructions to use Soupis/SmallA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soupis/SmallA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Soupis/SmallA")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/SmallA") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/SmallA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
sant commited on
Training in progress, step 600
Browse files
model.safetensors
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runs/Jun15_15-09-54_862be0652b89/events.out.tfevents.1718464196.862be0652b89.122.0
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