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

- Xet hash:
- d2bbe15b43409c20c16cd93d11da8e0114c715de7eea4ae1fae4285f03e4829f
- Size of remote file:
- 232 kB
- SHA256:
- b34604ca4c9340d88d6512dc746b1c18c2c7c4a63e3dd8740dafc7f233fcc664
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