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

- Xet hash:
- d0c03e032098b93bcb20840b06afd168f1e53306fdd75754fd5608e54641200d
- Size of remote file:
- 113 kB
- SHA256:
- dcbd0c9c0f3920c442195af4ac8286747d80851718ea198cc8b13fdc24701ec9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.