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:
- 8881890c20757233f45bbcfa38ae8dca66d02290b3b9936ae2a815c569d02de0
- Size of remote file:
- 266 kB
- SHA256:
- d4947f15d883efe9e725ee45b8cf98b0936787cc521af61594e68a8afe89f8b2
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