Text Generation
fastText
English
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_anglofrisian
Instructions to use wikilangs/en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/en with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/en", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/en: direct link, hf CLI and curl.
- Browser
- Download file 285 kB
-
https://huggingface.co/wikilangs/en/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/en/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/en/resolve/main/visualizations/tsne_sentences.png
285 kB

- Xet hash:
- d23e503583fd2f4c9b47c10df149a581ea118a18582d7bf4c0824455fa95b5f7
- Size of remote file:
- 285 kB
- SHA256:
- 00b4d16f8494838fdaac9379880920ea0fee138bfb2c313ff0c802eda33c7432
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