Instructions to use entai2965/sugoi-levi-ja-en-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use entai2965/sugoi-levi-ja-en-ctranslate2 with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "entai2965/sugoi-levi-ja-en-ctranslate2" ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c18210a73a0b0cb49f8df56f6d9c1b4b0ac12028e80c72d461137274f0b2ac02
- Size of remote file:
- 785 kB
- SHA256:
- 1bff3529a8e0bd898f00707a4e36dc16540d84112cc8a4a14462c0099e4aab9d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.