Instructions to use Soupis/opus-base5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soupis/opus-base5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Soupis/opus-base5")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/opus-base5") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/opus-base5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Soupis/opus-base5: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Soupis/opus-base5/resolve/main/training_args.bin
- Command line
-
hf download hf://Soupis/opus-base5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Soupis/opus-base5/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- f1a8731cc2836082e081df237f4d32f39c61aa26e9de5d0159fa661ee0d820ad
- Size of remote file:
- 5.3 kB
- SHA256:
- e49d44e0c2c16205acdf78c15ba0929b7380fb67c6f9c3034991de58ef92e281
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