Instructions to use facebook/fasttext-bo-vectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use facebook/fasttext-bo-vectors with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("facebook/fasttext-bo-vectors", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8d5da2df05accf48fdb2cbe681cc856ab4e8cb11e93c4230652c329a15b03ed
- Size of remote file:
- 2.59 GB
- SHA256:
- 8afa971e7bd57f28a03a0f2e818a0ce4a5fce1f18dc6a3347abde98ae68756f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.