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:
# pip install -U transformers accelerate # Load model directly from transformers import HFSeamlessBasic model = HFSeamlessBasic.from_pretrained("videoloc/seamless-basic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __init__.py from videoloc/seamless-basic: direct link, hf CLI and curl.
- Browser
- Download file 185 Bytes
-
https://huggingface.co/videoloc/seamless-basic/resolve/main/__init__.py
- Command line
-
hf download hf://videoloc/seamless-basic/__init__.py
-
curl -L -o __init__.py https://huggingface.co/videoloc/seamless-basic/resolve/main/__init__.py
185 Bytes
| """ | |
| SeamlessBasic model for HuggingFace Transformers | |
| """ | |
| from .modeling_seamless_basic import HFSeamlessBasic, SeamlessBasicConfig | |
| __all__ = ["HFSeamlessBasic", "SeamlessBasicConfig"] | |