Instructions to use rishi70612/nepali-tamang-english-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use rishi70612/nepali-tamang-english-mt 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( "rishi70612/nepali-tamang-english-mt" ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee5412da3d9b613addc80265042bdc1e8be221ae825bd275a67a56c413a88596
- Size of remote file:
- 351 MB
- SHA256:
- b231fba0d9ba6a5100fa631be5f5722e2bacd5bafc5be1427c0ebf2dcf2f9080
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