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

- Xet hash:
- d225dcd9272f7fc548e5ab4f8b04d435729d04e77f5e89b1b28f99036f2ca2de
- Size of remote file:
- 151 kB
- SHA256:
- 9b8c0ccb8a96681468c14377da550bcdfac44dd4053e288f5ece78e27a7138f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.