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:
- edb28565ae85e9a4c73961b9b26f41967631dec9dfec1fef51ed061283093eec
- Size of remote file:
- 375 kB
- SHA256:
- 957f1ec5ce29d9094360ec45725439d83bbbf4dc80dd73507261d215da0d1af5
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