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

- Xet hash:
- b337b4a2d00fe3bb60a63246a9a31e7b424640545d4f6c5da67ea9a05bb24163
- Size of remote file:
- 393 kB
- SHA256:
- 5ed80eb587c74a3c1a64743c8a2866ec7834433393d1e9b01f538cf6d4e393c3
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