Transformers
PyTorch
multilingual
seamless_basic
audio
text
multimodal
seamless
subtitle-editing-time-prediction
Instructions to use videoloc/seamless-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use videoloc/seamless-basic with Transformers:
# Load model directly from transformers import HFSeamlessBasic model = HFSeamlessBasic.from_pretrained("videoloc/seamless-basic", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a8c364ee07437bba5860c9187807b529f91e5623457051307c6806281fdd798
- Size of remote file:
- 4.86 GB
- SHA256:
- 88d20bd96bdcb428c064083bb2e2eef54b770f03ccf8d3d60a1bb464e51c2b92
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