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:
- dbff6598c686bae2c0e4c30e670dea4fad2f8f5707334899c74fdf667cd2e05e
- Size of remote file:
- 1.36 MB
- SHA256:
- c87482d4cb6eecfa2dca8f8e19da3d31fb80be6e2b6dde6f2a26cd8de51abdfc
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