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

- Xet hash:
- 5adf9558e0a06e08bea7e72da652b9c49b27c9fd63e570a9f750ed2fcb571b7f
- Size of remote file:
- 674 kB
- SHA256:
- 0c43491b4d4a10629386bdd98fe6e58aa2e9a21ae1631bb623a0bd67ba7f9fa5
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