Text Generation
fastText
Maltese
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_maltese
Instructions to use wikilangs/mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/mt with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/mt", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c5c0085d3978763e1498fd6fb9ee5486f9877a96cfb0c1d0ad9a4593eecb6452
- Size of remote file:
- 233 kB
- SHA256:
- 90c54c7a159af15f79318ea7d88ea1266431cd1b9cfbd955e7b39ad775fa9455
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