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/zipf_law.png from wikilangs/tr: direct link, hf CLI and curl.
- Browser
- Download file 102 kB
-
https://huggingface.co/wikilangs/tr/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/tr/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/tr/resolve/main/visualizations/zipf_law.png
102 kB

- Xet hash:
- 513b2dda3f2ac7d5eb8c476e4334a98c65254881d595302b505aee25e4bce281
- Size of remote file:
- 102 kB
- SHA256:
- 04bfb93f6660eb69a8454b18a9e54905d1237677d6fe9d3c1e71882e3d1e0085
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