Text Generation
fastText
Tyap
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_other
Instructions to use wikilangs/kcg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/kcg with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/kcg", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/kcg: direct link, hf CLI and curl.
- Browser
- Download file 106 kB
-
https://huggingface.co/wikilangs/kcg/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/kcg/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/kcg/resolve/main/visualizations/zipf_law.png
106 kB

- Xet hash:
- 037462ce59a09e63c8f39f719e09b3bab727b815d061fac2d0c3065b61377f16
- Size of remote file:
- 106 kB
- SHA256:
- b66c5131c749fbf5a176037e50123b109857de5d06cdf87232064f528a3f743d
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