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EphAsad
/
SatellaSTT-27M

Automatic Speech Recognition
Transformers
ONNX
Safetensors
English
moonshine
science
microbiology
laboratory
Model card Files Files and versions
xet
Community

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
SatellaSTT-27M
375 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
EphAsad's picture
EphAsad
Update README.md
bae2cf7 verified 2 days ago
  • benchmarks
    Add ONNX equivalence and CPU benchmarks 2 days ago
  • onnx
    Add validated SatellaSTT-27M FP32 ONNX export 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    6.8 kB
    Update README.md 2 days ago
  • config.json
    984 Bytes
    Release SatellaSTT-27M PyTorch model with evaluation and CPU/GPU benchmarks 2 days ago
  • generation_config.json
    920 Bytes
    Release SatellaSTT-27M PyTorch model with evaluation and CPU/GPU benchmarks 2 days ago
  • model.safetensors
    108 MB
    xet
    Release SatellaSTT-27M PyTorch model with evaluation and CPU/GPU benchmarks 2 days ago
  • processor_config.json
    300 Bytes
    Release SatellaSTT-27M PyTorch model with evaluation and CPU/GPU benchmarks 2 days ago
  • tokenizer.json
    3.76 MB
    Release SatellaSTT-27M PyTorch model with evaluation and CPU/GPU benchmarks 2 days ago
  • tokenizer_config.json
    219 Bytes
    Release SatellaSTT-27M PyTorch model with evaluation and CPU/GPU benchmarks 2 days ago