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:
- c8366a2add39ffb69ea4af293468762fbe87aae1993ce45d6c8b8125ef4cf9ec
- Size of remote file:
- 119 kB
- SHA256:
- b4f5734a284b232e92c84655e627d34b193ae4289e9f733abe3ecdfa8aea94e5
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