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
Download visualizations/embedding_tsne_multilingual.png from wikilangs/ff: direct link, hf CLI and curl.
- Browser
- Download file 234 kB
-
https://huggingface.co/wikilangs/ff/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/ff/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/ff/resolve/main/visualizations/embedding_tsne_multilingual.png
234 kB

- Xet hash:
- c058359d3a493285fc7c104b5bbf57df0cb4a580fb641f97054581a730068abe
- Size of remote file:
- 234 kB
- SHA256:
- c1a1c35a182a1f59cce67fc5502bc89ec8f1beff787ff903cda3e30f6e5871ed
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