Instructions to use tartuNLP/synest-fully-modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use tartuNLP/synest-fully-modular 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/synest-fully-modular" ) - Notebooks
- Google Colab
- Kaggle
Download sp-model.en.model from tartuNLP/synest-fully-modular: direct link, hf CLI and curl.
- Browser
- Download file 650 kB
-
https://huggingface.co/tartuNLP/synest-fully-modular/resolve/main/sp-model.en.model
- Command line
-
hf download hf://tartuNLP/synest-fully-modular/sp-model.en.model
-
curl -L -o sp-model.en.model https://huggingface.co/tartuNLP/synest-fully-modular/resolve/main/sp-model.en.model
650 kB
- Xet hash:
- e6168f7a928f0d2229cbee2bebb4b4152a80fe23be24d75785635781e40977c0
- Size of remote file:
- 650 kB
- SHA256:
- 1d014e6f008f563891072549e1f61ce993754bc52885c560b5b538f4898e96b0
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