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

- Xet hash:
- 0c6eb5214d59f3f85b79091ef2fade7bdeee3d568b61f919f274175d97bd7daa
- Size of remote file:
- 463 kB
- SHA256:
- 584861ac47720ef007c760aa54e59e44166076e9bf0ae268d4d575101b06b195
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