Text Generation
fastText
Lingala
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-bantu_central
Instructions to use wikilangs/ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ln with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ln", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 08406ff3dd36fd1aba7aed80539f1761d2f8bc1c2ab77177c50873c866dcb6d0
- Size of remote file:
- 104 kB
- SHA256:
- 3645f8956f53120d5c1391abe36d33fb6390ae5074f35c2986cfe8733259202d
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