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/tsne_words.png from wikilangs/tr: direct link, hf CLI and curl.
- Browser
- Download file 684 kB
-
https://huggingface.co/wikilangs/tr/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/tr/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/tr/resolve/main/visualizations/tsne_words.png
684 kB

- Xet hash:
- db60c7a607229a98ed5d88081ebb732fb3a648a746668391e3fcad4634839e89
- Size of remote file:
- 684 kB
- SHA256:
- 16aa4e66faa5b6878f25674531bbc53957cdf4a8d8c01c92358e1d5df6f382b4
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