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:
- 225f343d16e5d4a4daed7f16683e3f3248ae092441fec866fea4be7f0241e785
- Size of remote file:
- 101 kB
- SHA256:
- 24800b788d32899a6f7924df7c9c8904dbc9d7f780a08e0f6518ff4644a2a251
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