Text Generation
fastText
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_galloitalic
Instructions to use wikilangs/fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/fr with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/fr", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 64e6f7971b042296dae30cc400c914b9f62db0f68341aa2acaac71e18ce8c726
- Size of remote file:
- 675 kB
- SHA256:
- 27b38bd1f086e47577d4d8a7587f10004dee11458a12372d5bea53743e4dcfa3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.