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:
- 7c61b40421fbe11eff2b00c0ef8ef4ad008999410df00920d31fdf65cf603502
- Size of remote file:
- 109 kB
- SHA256:
- 49c8a7c635ef59c4e3f9a9882f29113f9b40a7a832c13c29ba59bd14c61cac5c
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