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:
- 50e1745a2d78147d97fca1069a5138640cbdc291e70b177cd9a9a3ea920b034c
- Size of remote file:
- 146 kB
- SHA256:
- 0cca1c5412bb5f57af2cb0602e3dab0ee3a3a67525825abfcaceeea4ee6170de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.