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

- Xet hash:
- 728b5996b990a051f15cc47b3ea1f1a97ba73e473786594550fe1d7b9ca4f4d7
- Size of remote file:
- 666 kB
- SHA256:
- 8a1d2ac4dd06cd003bd6a5f370354aa7c389254fc66d7ee1caefece729ab757e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.