Instructions to use Soupis/opus-base-E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soupis/opus-base-E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Soupis/opus-base-E")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/opus-base-E") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/opus-base-E") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eaf717eae8c6eba1998b04f7c4eebaf0078e9a5c4e0e61cbfbd978c8fbad5f73
- Size of remote file:
- 5.3 kB
- SHA256:
- 87e08be9f92b2ea1c98247cd78164b8de34a08faa687ba431012e44407d2fa7e
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