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

- Xet hash:
- ab64143fac5865bdae31d2b3424500fa94a34c1fd8abe20bb5bed00496c59997
- Size of remote file:
- 154 kB
- SHA256:
- 273161cbac699ff751e212001114fef2427b22aeb428cf31b50c1bea5fa4bd73
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.