Instructions to use facebook/fasttext-li-vectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use facebook/fasttext-li-vectors with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("facebook/fasttext-li-vectors", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download model.bin from facebook/fasttext-li-vectors: direct link, hf CLI and curl.
- Browser
- Download file 3.14 GB
-
https://huggingface.co/facebook/fasttext-li-vectors/resolve/main/model.bin
- Command line
-
hf download hf://facebook/fasttext-li-vectors/model.bin
-
curl -L -o model.bin https://huggingface.co/facebook/fasttext-li-vectors/resolve/main/model.bin
3.14 GB
- Xet hash:
- e57884b181b27673444f5c974c8ab3253e64c32e5084cb3459fe99b1a7f1b89f
- Size of remote file:
- 3.14 GB
- SHA256:
- d4eb10b242f3a67db12dcabdb9e6969185040a962c82becb5268690665258553
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