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:
- dddce15bed299290064b5316fac066fa9f762dd4e26026187947d78c7ece7b23
- Size of remote file:
- 370 kB
- SHA256:
- 390fa04149f0a2628dabe415c873e9c98c6fc356163000e632455bb34872fb53
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