Text Generation
fastText
Shona
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_eastern
Instructions to use wikilangs/sn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/sn with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/sn", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 72c8ac356faedc2ba173f7b25eb0ef77f95e2ff8db5eb2ede656cfd99fd52758
- Size of remote file:
- 667 kB
- SHA256:
- 1e7a6e6f60d994bd0d75a99aea639cb75a20ea10f02c5ef5fcdc72a0230ed9c2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.