Text Generation
fastText
Turkish
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-turkic_oghuz
Instructions to use wikilangs/tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tr with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tr", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/tr: direct link, hf CLI and curl.
- Browser
- Download file 233 kB
-
https://huggingface.co/wikilangs/tr/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/tr/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/tr/resolve/main/visualizations/embedding_tsne_multilingual.png
233 kB

- Xet hash:
- 8430e49a082e92f169f074fc27c41fede8d881f751610c3f4b03fba0f4894d4f
- Size of remote file:
- 233 kB
- SHA256:
- d206715baf98f0698ae4ea29594213503667b7520ddf5fd8b5fd7edcb9937c36
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