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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/opus-base-E") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/opus-base-E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from Soupis/opus-base-E: direct link, hf CLI and curl.
- Browser
- Download file 1.04 MB
-
https://huggingface.co/Soupis/opus-base-E/resolve/main/vocab.json
- Command line
-
hf download hf://Soupis/opus-base-E/vocab.json
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curl -L -o vocab.json https://huggingface.co/Soupis/opus-base-E/resolve/main/vocab.json
1.04 MB
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