Text Generation
fastText
Belarusian
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_east
Instructions to use wikilangs/be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/be with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/be", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6952f44397153e321380ed16b9dd064e431a216780f0c0a70f2c71de43f737c8
- Size of remote file:
- 1.75 MB
- SHA256:
- 4dfed6e10895ec9f14ab639f9cbc12b5c079d85b4ab209949758712be587f3fe
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