Text Generation
fastText
Dotyali
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-indoaryan_central
Instructions to use wikilangs/dty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/dty with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/dty", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/dty: direct link, hf CLI and curl.
- Browser
- Download file 105 kB
-
https://huggingface.co/wikilangs/dty/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/dty/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/dty/resolve/main/visualizations/zipf_law.png
105 kB

- Xet hash:
- 99a600f3636139edc28a940b1bc0fa3043146838d4dcbe54eb9dbdc4d8f0e530
- Size of remote file:
- 105 kB
- SHA256:
- dc338480ce1bb4c040c0653a80a14c8dab9ed2ec52784246fedc1f67b1012ce7
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