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:
- e2e4d9559209ae941774e0e4c959af3916128c7952901e9060de61d04ed81b61
- Size of remote file:
- 4.86 GB
- SHA256:
- 40a18c5ce3db886422321972cbc06fc079a8a42703d8cda013ad124ca93ec3eb
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