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:
- caaf1078aa987b293cb4e3112b993605dafa5f40e508d3ceb56f8fd5e5b1277a
- Size of remote file:
- 1.04 GB
- SHA256:
- b6b3631e0fff8545f469b01e2d1bf05841ab0a5045a798fc48069ca41d6ddbb5
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