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:
- 606c842eb83c33a7f07246f82d52f81ceb30e4eff82391dd774f6fc200db9fb7
- Size of remote file:
- 284 kB
- SHA256:
- 3b95fe9c79e31edd27073911c89ae2caa1c20ba31b8c089aaedb6cc297319674
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