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:
- 20d7ecdddd4d0fbe0685c8f330abfd60a49e1f9fe580f339f50eaaa949b73451
- Size of remote file:
- 107 kB
- SHA256:
- ceae136c7586edd77da12730ce8e53d026fed1ed04b94f8e64d1c81b4e1e8102
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