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:
- 162478513a3d7479a5ceeb39c12f5c2506178cbb866874a476e95e5aedd94d8e
- Size of remote file:
- 272 MB
- SHA256:
- 01a8ce9dd6963b625aec8b358b6e88f36be99c7bffeac9cb3ce38f4c3c57047a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.