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:
- d5b9061ea34b4fb60011fefc5977f1befdca29e438c0acc4f9b5d5cf46e03200
- Size of remote file:
- 153 kB
- SHA256:
- 87b9cdfef19fbcffe04d49310542ae2bf047ef6883acf882769bebd6e4bf6d75
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