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:
- baf4b50230f2ac493ac9ca3f28cc9e27a3ce82315c71ba0c6d16b6e666939d4d
- Size of remote file:
- 286 kB
- SHA256:
- 29908e9b097332a65954250e73afee6672d3bcffedd2577fc3faeec38861965b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.