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:
- 9967a37babc238c3480a7431569ddc45660320453a5515b9be560ecb42e6f2c8
- Size of remote file:
- 105 kB
- SHA256:
- ac89f2e0b5f971e8634cfc22bd65f3c0d944ad96b9927846425639814be9e9d2
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