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:
- 5cdf9d3ff1de62be05fba5228346ba5135df520ed98f27a387dd8d331e6749e0
- Size of remote file:
- 104 kB
- SHA256:
- f9e2b94053b2756b89d126d8797224cdf8471a5adc0fe16006ebcfc111b9edc1
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