Text Generation
fastText
Interlingua
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-constructed_auxlang
Instructions to use wikilangs/ia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ia with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ia", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/position_encoding_comparison.png from wikilangs/ia: direct link, hf CLI and curl.
- Browser
- Download file 111 kB
-
https://huggingface.co/wikilangs/ia/resolve/main/visualizations/position_encoding_comparison.png
- Command line
-
hf download hf://wikilangs/ia/visualizations/position_encoding_comparison.png
-
curl -L -o position_encoding_comparison.png https://huggingface.co/wikilangs/ia/resolve/main/visualizations/position_encoding_comparison.png
111 kB

- Xet hash:
- 3d00be78e23d5402a79273d2de17e0a2de16b27b64fac038095d85c67f64d566
- Size of remote file:
- 111 kB
- SHA256:
- 78d2f02d1d50f3ba4e5971d3151637ff5c6f636f9131b8876c860b192f67031b
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