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
File size: 185 Bytes
d848202 | 1 2 3 4 5 6 7 | """
SeamlessBasic model for HuggingFace Transformers
"""
from .modeling_seamless_basic import HFSeamlessBasic, SeamlessBasicConfig
__all__ = ["HFSeamlessBasic", "SeamlessBasicConfig"]
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