Instructions to use facebook/fasttext-bar-vectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use facebook/fasttext-bar-vectors with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("facebook/fasttext-bar-vectors", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdfc1ce3c00df7cc30718a3526912a4b9a83f19452bf90694e50cb65c2456e8d
- Size of remote file:
- 4.1 GB
- SHA256:
- 0bac1ecc38f0f32d7c79b649a83a41258fe07376f5b807e8ab3ba5c2175ed6a8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.