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

- Xet hash:
- 4b9fdf5bc869408d9aca8a7f68449ae3a87e21700e0ee5cf1a5ebc45e7db9b73
- Size of remote file:
- 106 kB
- SHA256:
- 812bd943decaa39aee52d81a657701f8d09a69c714093170be9c3f848c08dd5e
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