Automatic Speech Recognition
Transformers
ONNX
Safetensors
English
moonshine
science
microbiology
laboratory
Instructions to use EphAsad/SatellaSTT-27M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EphAsad/SatellaSTT-27M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="EphAsad/SatellaSTT-27M")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("EphAsad/SatellaSTT-27M") model = AutoModelForSpeechSeq2Seq.from_pretrained("EphAsad/SatellaSTT-27M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Update README.md
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Add ONNX equivalence and CPU benchmarks
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Upload README.md
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Release SatellaSTT-27M PyTorch model with evaluation and CPU/GPU benchmarks
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