Text Generation
fastText
Estonian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_finnic
Instructions to use wikilangs/et with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/et with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/et", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 053f7bff99b2d5de726da387759e79906a23cd929849972abf4fac4d85ae985c
- Size of remote file:
- 372 kB
- SHA256:
- 02a0dca55c4384589edc21aab8cf0758725e8c4fa33d1a7098cb360304d09d5c
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