Text Generation
fastText
Macedonian
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_south
Instructions to use wikilangs/mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/mk with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/mk", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d5a25c63eda615a3efd4d188df747609c6f8a76253dc72254ef11cb766c4ad3
- Size of remote file:
- 590 kB
- SHA256:
- ed24ee49ab4ebeb7bd90711c080c8a742f96973938c4080410bfad498e9d31fb
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