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:
- 0a7ec4481449c4ff2a73d8cb12358453af45260814c1c46b94d53b59af07fc89
- Size of remote file:
- 117 kB
- SHA256:
- c2a3782be4589cbcb7d88bbfcb5e2dae982f058c43ba75f1fccdb2b38739b434
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