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:
- 628b80045005de07f4f16f5b66329a322c760a53575614e6e9ea168dfc7b1db2
- Size of remote file:
- 4.12 MB
- SHA256:
- 01808c29d38deae3defece7b7d6b0efeac4a0c57fe5d5b1ca86a2beeeffbe8ce
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