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
- Xet hash:
- f92e2336d4f3f4be5a167a316c804ce23b20d3277377203052a0a72f6840ec72
- Size of remote file:
- 1.69 GB
- SHA256:
- a818b6bd42a628ab47d3dfc1578c7ea615c45381f3494c42535e31e8c4cafc9e
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