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:
- 479eabdece9e5f3c893396a3b2997aef3e744360bfc64ab4914720bd49053736
- Size of remote file:
- 269 kB
- SHA256:
- 64cbf17e4d62a388f9fd804b0318101a3674322aa221333e7e5582ef95d2cdba
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