Instructions to use tartuNLP/septilang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use tartuNLP/septilang 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( "tartuNLP/septilang" ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e9b254582837de101643320d9184ced625560b5883211ee45514c082f47c35d
- Size of remote file:
- 588 kB
- SHA256:
- d2a3ce173f756fbc9621cdcdddc610a7e9821f923d8260d1ffe7e4e2ce210119
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.