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Neoscopio-SA
/
Neo_EP

Automatic Speech Recognition
Transformers
Safetensors
Portuguese
whisper
pt_PT
Model card Files Files and versions
xet
Community

Instructions to use Neoscopio-SA/Neo_EP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Neoscopio-SA/Neo_EP with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Neoscopio-SA/Neo_EP")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Neoscopio-SA/Neo_EP")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Neoscopio-SA/Neo_EP")
  • Notebooks
  • Google Colab
  • Kaggle
Neo_EP
3.09 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 11 commits
nandou's picture
nandou
Update README.md
5404317 verified about 10 hours ago
  • .gitattributes
    1.52 kB
    initial commit 28 days ago
  • README.md
    1.37 kB
    Update README.md about 10 hours ago
  • config.json
    1.17 kB
    Upload Neo_EP (Whisper fine-tuned for European Portuguese) 28 days ago
  • generation_config.json
    3.77 kB
    Upload Neo_EP (Whisper fine-tuned for European Portuguese) 28 days ago
  • model.safetensors
    3.09 GB
    xet
    Upload Neo_EP (Whisper fine-tuned for European Portuguese) 28 days ago
  • preprocessor_config.json
    316 Bytes
    Upload Neo_EP (Whisper fine-tuned for European Portuguese) 28 days ago
  • processor_config.json
    410 Bytes
    Upload Neo_EP (Whisper fine-tuned for European Portuguese) 28 days ago
  • tokenizer.json
    3.93 MB
    Upload Neo_EP (Whisper fine-tuned for European Portuguese) 28 days ago
  • tokenizer_config.json
    2.09 kB
    Upload Neo_EP (Whisper fine-tuned for European Portuguese) 28 days ago
  • training_stats.log
    22.1 kB
    Upload Neo_EP (Whisper fine-tuned for European Portuguese) 28 days ago