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:
- f580d5305b9a48f99816d7138cd9f0e43203b3c8d98cc7f6626bc433d48d86ba
- Size of remote file:
- 108 kB
- SHA256:
- bd50bea5a95db6e856494c3845bdc6f13ea07cd71219430ea3c8639b7f4d1d0a
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