Text Generation
fastText
Old Church Slavonic
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-slavic_historical
Instructions to use wikilangs/cu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/cu with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/cu", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd964b48152ae3793408fc0c9dc146fc939f75818ea6f0312c961a0e0134552e
- Size of remote file:
- 1.56 MB
- SHA256:
- ad57f28a5fb62bf04b8cc61474afffded949c6d5085988912ddf0d8fcec0565d
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