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

- Xet hash:
- 60a89dcf3ccd35a0874d0ee9f2edfbcaa96121b461c7ef0c01dda6ac454ca59b
- Size of remote file:
- 259 kB
- SHA256:
- 1c850cb0067c93f960e1aabbd2be1a2f62355edee4e4197bd1eeff2f17dfbd65
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