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/performance_dashboard.png from wikilangs/ami: direct link, hf CLI and curl.
- Browser
- Download file 385 kB
-
https://huggingface.co/wikilangs/ami/resolve/main/visualizations/performance_dashboard.png
- Command line
-
hf download hf://wikilangs/ami/visualizations/performance_dashboard.png
-
curl -L -o performance_dashboard.png https://huggingface.co/wikilangs/ami/resolve/main/visualizations/performance_dashboard.png
385 kB

- Xet hash:
- 971500431e2b291284a7aef7020e6f56eea0d06dee218f572a48fabd5b92c853
- Size of remote file:
- 385 kB
- SHA256:
- f5030a2423a792ceca5f06fff738c152516270405d485f3c78b6a4602cc4f0c9
·
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