Instructions to use facebook/fasttext-ckb-vectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use facebook/fasttext-ckb-vectors with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("facebook/fasttext-ckb-vectors", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 783b67a8fc825097d74505ae2d0e80598c992048721bb33a68c59035aca21049
- Size of remote file:
- 3.65 GB
- SHA256:
- 38d91240d82566a99224a9c5b26b3d24d67e7c102e60dece52a0f5acaf822ac2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.