Text Generation
fastText
Tachelhit
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-berber
Instructions to use wikilangs/shi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/shi with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/shi", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/shi: direct link, hf CLI and curl.
- Browser
- Download file 307 kB
-
https://huggingface.co/wikilangs/shi/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/shi/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/shi/resolve/main/visualizations/embedding_tsne_multilingual.png
307 kB

- Xet hash:
- 9d787979d72bbbc7709e6bb021a4772df35826cbcc12f71f9afa431d97d7f074
- Size of remote file:
- 307 kB
- SHA256:
- c3e606ff8715a06408b6106c0871a46deb270f0a67b72d12dfaad50d17d6528e
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