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:
- d1740f452a9c7adc0af34529953b33c51f97a6784b7532cee2140318c1ea3b54
- Size of remote file:
- 517 kB
- SHA256:
- 861bc6f215952fcfe3d94434cdaa427b313d383c302a30e5386d83b11882d9f3
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