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
Download visualizations/embedding_tsne_multilingual.png from wikilangs/ami: direct link, hf CLI and curl.
- Browser
- Download file 248 kB
-
https://huggingface.co/wikilangs/ami/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/ami/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/ami/resolve/main/visualizations/embedding_tsne_multilingual.png
248 kB

- Xet hash:
- fd43ffaa8fb82f5b8e7fb14aa9de1aef20fad871ef75395380327a28444ab7c9
- Size of remote file:
- 248 kB
- SHA256:
- 4b79d042dc59b9fe3120f37a71505da74fe711652b93cca433c260648fa0df27
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