Text Generation
fastText
Catalan
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_galloitalic
Instructions to use wikilangs/ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ca with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ca", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b25a0060d415389632caaf03700f5bff54f06b2d497f25aee05170119963e907
- Size of remote file:
- 1.36 MB
- SHA256:
- 88d889048650ea6a5950b07988fd2f76716015504f0d365d9a6ca927d6f5e1da
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.