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:
- 77e6aeec13bd80f7b9196fb7f4bd434fb7ef16133a68baa93bd0f5212f801688
- Size of remote file:
- 504 kB
- SHA256:
- e65adcd6ca6102ba2b5d303404702966781752a577d8c1d3cc4cc3b86d0c1b93
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