Instructions to use facebook/fasttext-da-vectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use facebook/fasttext-da-vectors with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("facebook/fasttext-da-vectors", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6473caef3596b308cf96e922d0c516af142275cde0f3ab5ae476d009c38b8c80
- Size of remote file:
- 7.24 GB
- SHA256:
- a4ac22b8cbb43843890cb7867dc7c20c7b6b4034867f22047d6658ce5b2a2b91
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.