Text Generation
fastText
Crimean Tatar
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_kipchak
Instructions to use wikilangs/crh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/crh with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/crh", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4892230862c61226ec359b1bfac76e7fa2624d4442c96fdc17e6546123c7dcb1
- Size of remote file:
- 107 kB
- SHA256:
- c1139e53f190f8af86571b59189f9d4402f91834f2ca64955f561a47f6c1475d
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