Text Generation
fastText
Amis
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-austronesian_formosan
Instructions to use wikilangs/ami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ami with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ami", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 9203755d2309de5392662f5f7ccd748234ba7e8a7ecdcad728e0eb6fe9e1dea9
- Size of remote file:
- 108 kB
- SHA256:
- 933c3c3b1bf026d9a21f3f9ed2b8fcb78c7be19076e769e690c0626c7588e2ec
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