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:
- b5a387550c70d2f56ec2baa2da1445c89d1d8ed03747ad8e16e90ce0dc28465e
- Size of remote file:
- 774 kB
- SHA256:
- 7df230c4e61d1516b40025c1328bd8561319a8b1079fa5b9a0efc2d8d608bc7e
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