Text Generation
fastText
Ghanaian Pidgin English
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_anglofrisian
Instructions to use wikilangs/gpe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/gpe with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/gpe", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- bcd1957fe6feaa277f4ae80a626b768ab6da3636c70b8b58a327eb7f127247fd
- Size of remote file:
- 372 kB
- SHA256:
- 2fb177ef7188e6226efde920a1800b2a1ef1ee7601ac480778b2c43c603ace31
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