Instructions to use facebook/fasttext-as-vectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use facebook/fasttext-as-vectors with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("facebook/fasttext-as-vectors", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 709a5ff4625dbb34d1720586959ef71e8aae4c986db353fd0229027b20687fa2
- Size of remote file:
- 3.12 GB
- SHA256:
- 2fb145cfd848828f0e3fe842083508046d5640c95d008342bfa693c6c2f247a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.