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:
- 95f3feaf5f724c8a31bf5a38881b301693e258deab9330c0132ecf129d3715ec
- Size of remote file:
- 1.35 MB
- SHA256:
- 298bb8c8177ab1904268167abfe0adaca25036562fdcbb005ac9d6a720531459
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