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

- Xet hash:
- 6740dc160716f1f38cb696a425024b4ac66b80cd8ce7526387afd7bf7159cf3e
- Size of remote file:
- 238 kB
- SHA256:
- ff8135b80f2dc1a0c2c3791f7260ae13b14c81419a363a10fa581e758371a5c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.