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:
- d4822b1ee165835f55d85fbb58d8456ff39afd35ce808522ac225a67eee1df98
- Size of remote file:
- 145 kB
- SHA256:
- 2ac2adeaa0aa056b26ad175a967446f58e50b2b25ce221df16358d956d75abc1
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