Text Generation
fastText
Sinhala
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_insular
Instructions to use wikilangs/si with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/si with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/si", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/si: direct link, hf CLI and curl.
- Browser
- Download file 271 kB
-
https://huggingface.co/wikilangs/si/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/si/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/si/resolve/main/visualizations/embedding_tsne_multilingual.png
271 kB

- Xet hash:
- ca02bbdb5916256019e5c0c657cf888b22c50e21fae961a310155bca04e8f661
- Size of remote file:
- 271 kB
- SHA256:
- 0c169ae98f24d90739f9dae66ba78ad4bbf1ac7d8408995ebbb3b5d7e1129f56
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