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:
- 959fc3b37185a2edf3f2665e63943df0bb52937d214d751b5a38b692eb0f5440
- Size of remote file:
- 274 kB
- SHA256:
- 7a0c4736143caad29d63c81c20ad5132d5976ca6987e89f7cda293dc207663c3
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