Text Generation
fastText
Pennsylvania German
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_continental
Instructions to use wikilangs/pdc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/pdc with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/pdc", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 83afc866c9127ee65d5564ddb4e5e1f40a99a11d81ebb2e9cf89c3981420d92a
- Size of remote file:
- 703 kB
- SHA256:
- 0c4d6f29ebd811fbcc56b35361a24a196e9ffde46660144dcd460e3adbff6e85
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