Instructions to use cis-lmu/glotlid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use cis-lmu/glotlid with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("cis-lmu/glotlid", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download model_v2.bin from cis-lmu/glotlid: direct link, hf CLI and curl.
- Browser
- Download file 1.7 GB
-
https://huggingface.co/cis-lmu/glotlid/resolve/main/model_v2.bin
- Command line
-
hf download hf://cis-lmu/glotlid/model_v2.bin
-
curl -L -o model_v2.bin https://huggingface.co/cis-lmu/glotlid/resolve/main/model_v2.bin
1.7 GB
- Xet hash:
- be7bbb4f916edd1e7dba37aaff54eba36455bc0dfc4fe16ed5dd4c4319078a8e
- Size of remote file:
- 1.7 GB
- SHA256:
- 7b186ecd9c78dca5b8ee5bcd29f35e0cfbd6258b1512484efddd0a6329c6be38
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