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:
- 0cce9c34204b52fa9be1c2262061a118369204ffe42211a127336038826a6188
- Size of remote file:
- 374 kB
- SHA256:
- 25679f9db3d6013311f3c423e2bf79c21316bd9e2d2e91abd33a88d8f41f6050
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