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:
- fa4ea8ccc0df663b2e4672d5f61d83ba9837f7b5a4e72bbcefc2a6e5b7eebaaa
- Size of remote file:
- 528 MB
- SHA256:
- a114cf1dcfef1234b40e16f0d79809e7097690636bef40f84c8ed9b7071fd5e2
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