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

- Xet hash:
- 8ae8d9e886e612085b2ec2ef5c115958c980b8a0cb02f412317dfa2c085adf83
- Size of remote file:
- 366 kB
- SHA256:
- 61842b31b5c02b457e19d03e783605b6b5618873236b5d7cdfccde3d47bfba24
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.