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:
- 33f0751a97efe4ee69d42289d0cb5f67edf53f003df00da4ad90bbeb63dda507
- Size of remote file:
- 1.32 MB
- SHA256:
- be394978bd2129894d32f3f7efcefc887e8fdd0b2f1822f0214218f1804d94f8
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