Text Generation
fastText
Kotava
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_other
Instructions to use wikilangs/avk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/avk with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/avk", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ff23b02c7d910275b7abe807eefe7eef2dd3a5f0f9b66a09c53e7a70aaf5f1e9
- Size of remote file:
- 643 kB
- SHA256:
- e5a3d2c05e5e4140ca37d6bb04afb3b164ad49aa3b83fb146f967e584880b735
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