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
- Xet hash:
- 5cd0e69dc94c8267e83e9ca97be3244f702d1869f4ebe1a6c0867c7fc05cbf6f
- Size of remote file:
- 3.09 GB
- SHA256:
- a07c9d8b35080127385b345b4ac305a233bae84bd9dc2c5c2b0793efb66f1bad
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