Instructions to use Soupis/opus-base4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soupis/opus-base4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Soupis/opus-base4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/opus-base4") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/opus-base4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c24c93d0c38ac533a4bc0bf3fd27d0f093a81a72a82ebea3c3436c5d4979a520
- Size of remote file:
- 5.3 kB
- SHA256:
- 63c800a38fa3c8a67ae944a67b37486cf28b2ed62de98a7cb290b331c233d362
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.