Text Generation
fastText
Macedonian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-slavic_south
Instructions to use wikilangs/mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/mk with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/mk", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/mk: direct link, hf CLI and curl.
- Browser
- Download file 288 kB
-
https://huggingface.co/wikilangs/mk/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/mk/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/mk/resolve/main/visualizations/tsne_sentences.png
288 kB

- Xet hash:
- dfd7e4e02f00450866dbe248f7afa10112db9032d486e94b557e17b4553afc60
- Size of remote file:
- 288 kB
- SHA256:
- 13e26fa73b6e6a88cbdfe3686db248f9186beeb5935b862ec74b8e71dacee0d6
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