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

- Xet hash:
- 982229b99d1bcda907029239d7b57b20fed27623ab2231eb32f884f7092b6223
- Size of remote file:
- 374 kB
- SHA256:
- 1f2cee67e80685adb25aeb255f818ee015b4160f3a3707662b76e07eb956b59e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.