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:
- d01b7a406ccaf668315bd1189a9f6bd5105b1531b8d5f092b22a9b4008c7bb6e
- Size of remote file:
- 154 kB
- SHA256:
- 0f847b6ae2d8788b9e048fa2ac2b0f0309579d739b08cc6a515afdfcbee487d6
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