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

- Xet hash:
- a24b77ea54430f26cb7db84106d31a79c12f23fabe1945eb6921fc9e9985cec3
- Size of remote file:
- 369 kB
- SHA256:
- c7a19e60a3e8ce165535609f3002e01aeb1be0a5faff7c5426da678e3e1020f9
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