Text Generation
fastText
Interlingua
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-constructed_auxlang
Instructions to use wikilangs/ia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ia with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ia", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4b7bc7ce01a08baa58a9dd6ff28e0c9af48dd3e53ef2cdd00b051d8e58ae4973
- Size of remote file:
- 109 kB
- SHA256:
- a69fe5b40703e2cbb860292a55d40f55299a4f1c6df70aee101872147b5a1343
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