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:
- affce02f7b3b82eedd4e7d1afe6ebf089d170a02c1c83ee5afaca1d5393102ab
- Size of remote file:
- 148 kB
- SHA256:
- 2d88392cc9bfd51d3eac77fdc424beafc3dd3ca81ecb118f4f0dc1a17d1579f9
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