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: 255 Bytes
8525e7c | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"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"
}
|