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:
- 8a6bdb878230e9b9f26fe84f10bc6ed694448c6f54db859ed7592c85f4aa949b
- Size of remote file:
- 275 kB
- SHA256:
- 5f6e65adf8d45f744c2f397ab4186d7b4b8c4a28f8ee3a549d14e9d95fc07b6a
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