Instructions to use facebook/fasttext-os-vectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use facebook/fasttext-os-vectors with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("facebook/fasttext-os-vectors", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7950d9c316fecef1e585f21541e75ce9280114d6f641b71ef15f43c02ec96f3a
- Size of remote file:
- 2.76 GB
- SHA256:
- 112756225579e35cafc3db099d924afe029ab17961d1e2e37c04996aba89d8dd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.