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:
- 7d9cc720fa6ad86c5d00d51f64615843fa4cc1ccb55436d9839a8b4ead163ae0
- Size of remote file:
- 960 kB
- SHA256:
- fa66384fcd0b31944743d53208d91911fe9ebfdd3b051c2ff6dd4779e5fa9a24
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