Instructions to use data-scale-paper/multilingual_base_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use data-scale-paper/multilingual_base_model with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Download model.nemo from data-scale-paper/multilingual_base_model: direct link, hf CLI and curl.
- Browser
- Download file 2.51 GB
-
https://huggingface.co/data-scale-paper/multilingual_base_model/resolve/main/model.nemo
- Command line
-
hf download hf://data-scale-paper/multilingual_base_model/model.nemo
-
curl -L -o model.nemo https://huggingface.co/data-scale-paper/multilingual_base_model/resolve/main/model.nemo
2.51 GB
- Xet hash:
- 650f102b63f253fb78e326f2d679ba329f781bf010734f97b7e3e6e9c5b92963
- Size of remote file:
- 2.51 GB
- SHA256:
- 2ce13150de9fb3f649ce3d126a6ff3f3c602073ebbf92a3237f83dce672c6cdb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.