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
| { | |
| "architectures": [ | |
| "HFSeamlessBasic" | |
| ], | |
| "dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "model_type": "seamless_basic", | |
| "seamless_model_name": "facebook/hf-seamless-m4t-medium", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.50.2" | |
| } | |