Text Generation
fastText
Turkmen
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/tk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tk with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tk", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a590c4a9b00518c4f8648e35ae37c96e91710eb05f3301343a16c06f274a639
- Size of remote file:
- 1.06 GB
- SHA256:
- 9ff16333711e1c70f2c5064cdffe03f10851ac736bb5b84f586f295b17dbde25
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