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:
- 9742a628dc5e5a042d670dfd90f5fa02c4f06a187644574edf8a4f0b0ac55790
- Size of remote file:
- 228 kB
- SHA256:
- 036899d02a23a8c66808deb41ed47f4ebd6a82b19faeef9936e7b6a7e085df1f
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