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:
- 9fc33acb36dc735d97933240aea0f4b1a7b283bf502a4045c09b83410aee089e
- Size of remote file:
- 813 kB
- SHA256:
- 4c007e0cf1053efe7e2edf3da82abdc5bc6cb2c51c6655e3d30568d071001e58
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