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

- Xet hash:
- 2fe642f28bd083532cefdb35200d18991e2bb432a08d9a387667175420bff6cb
- Size of remote file:
- 114 kB
- SHA256:
- d585b62a6101321e2b1119302c36f4b87d552b1bea190761fc7fdc319d4ed9e8
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