Instructions to use facebook/fasttext-an-vectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use facebook/fasttext-an-vectors with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("facebook/fasttext-an-vectors", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43d6db9deb6092f764b5296436bf35e4528a281631f5f8c3fcee5b0c70e04d90
- Size of remote file:
- 3.3 GB
- SHA256:
- 496d4c5cccdb456a9d81486845c45dbb58facbf995ae9abc65fe0bf9cca6c39c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.