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:
- e6ef33a279148be92ef3d4f20572f5bd341329e796c5f755d2e47a63b4df233d
- Size of remote file:
- 243 kB
- SHA256:
- 3d680ce42f468146d33b3b180f583b622ca5772bfb061d0723e32eec88ab2bec
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