Text Generation
fastText
Hungarian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_ugric
Instructions to use wikilangs/hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/hu with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/hu", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/hu: direct link, hf CLI and curl.
- Browser
- Download file 103 kB
-
https://huggingface.co/wikilangs/hu/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/hu/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/hu/resolve/main/visualizations/zipf_law.png
103 kB

- Xet hash:
- 04d324ce33b4c620cea7f699b0bc5621e70b9d06f24fa75160f480f648050cc4
- Size of remote file:
- 103 kB
- SHA256:
- 23a58238bf74ea2cc93d42a872059346f151e3fde5bfe2aafb944ada575339e6
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