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:
- b49725b3cab35249901fe0ff35a296d24982200718aa71d20d635bf570c60c00
- Size of remote file:
- 1.38 MB
- SHA256:
- f4edc288e094feeecf85113bb1946d6957df57ce1deb7ca6f58e5d179415a9b5
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