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:
- 53b1d8286d7c4036f6ac6a0a68a29afa6ec054e4190943bf924bf28e05e364ce
- Size of remote file:
- 355 kB
- SHA256:
- 5442cd451c8e76872f7f8c5a2b4dc09c9098236025f09c553c92b1565e35ea43
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