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:
- e0c39fe7a0b614b4ad801e8ed779f70f4cedcf2911e0b25f1e395fb4c47e0460
- Size of remote file:
- 961 kB
- SHA256:
- 2bb8f76ddc298d8534b123428e82c239b77c35db3f1c65d128555ffda988a2bf
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