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nphearum
/
PsarAI-S2S

Automatic Speech Recognition
Transformers
Safetensors
Khmer
English
French
psarai_s2s
feature-extraction
speech-to-speech-translation
speech-translation
text-to-speech
khmer
code-switching
custom_code
Model card Files Files and versions
xet
Community

Instructions to use nphearum/PsarAI-S2S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nphearum/PsarAI-S2S with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nphearum/PsarAI-S2S", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nphearum/PsarAI-S2S", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PsarAI-S2S / mt
32.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
nphearum's picture
nphearum
PsarAI-S2S: ASR (km/en/fr/mixed) + MT km/en/fr + A2H bridge + fast speech output, one model.safetensors
67d31d5 verified 2 days ago
  • tokenizer.json
    32.2 MB
    xet
    PsarAI-S2S: ASR (km/en/fr/mixed) + MT km/en/fr + A2H bridge + fast speech output, one model.safetensors 2 days ago
  • tokenizer_config.json
    3.87 kB
    PsarAI-S2S: ASR (km/en/fr/mixed) + MT km/en/fr + A2H bridge + fast speech output, one model.safetensors 2 days ago