Instructions to use Soupis/opus-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soupis/opus-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Soupis/opus-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/opus-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/opus-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Soupis/opus-base: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Soupis/opus-base/resolve/main/training_args.bin
- Command line
-
hf download hf://Soupis/opus-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Soupis/opus-base/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 1ea81c38b58161982469d1ceb515639db45b82f0f30aefcb08ead3f2142a5c70
- Size of remote file:
- 5.3 kB
- SHA256:
- bb9c503d4d7608bebd06442dc6833f71bb467fc32f3c087faae567dfa9d6dea3
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