Text Generation
fastText
Tajik
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-iranian_western
Instructions to use wikilangs/tg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tg with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tg", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/tg: direct link, hf CLI and curl.
- Browser
- Download file 293 kB
-
https://huggingface.co/wikilangs/tg/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/tg/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/tg/resolve/main/visualizations/embedding_tsne_multilingual.png
293 kB

- Xet hash:
- 00b02c6f84dcd6b9368a02c2fda985e4ac17013ba675babbab73bd6ad5fb0761
- Size of remote file:
- 293 kB
- SHA256:
- f5e021925f8516c132b8acf822684ce9c0dba71a808865326fbd564249b55a80
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