Text Generation
fastText
Picard
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/pcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/pcd with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/pcd", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceff5143aa31c837d460b4c5f4d9cc98976e5225f188250eee4ab89d5b656f51
- Size of remote file:
- 370 kB
- SHA256:
- 8a2d4f39009aed6f4144b36d9a50b834d9f0eba7de2f12e748753188cb12ea9c
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