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

- Xet hash:
- 47cf710982f52d18b6ded83b504229f7d5a5105e530b6ad6ea8decb5eefc10d5
- Size of remote file:
- 353 kB
- SHA256:
- d4a74dbb73a0fc88ee3c14bb2ea27132b867a1cbc1343576ca2620e4fbc9634f
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