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:
- 1a2558684e2a2f09350064c220aa37f28861f6fc32960a4cc2cfea4d0edeaaeb
- Size of remote file:
- 545 MB
- SHA256:
- 3a92b39e53bdfab37f20b2d9e5b5e7510084783d62286c2b3ad2306ee0a4acbd
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