Text Generation
fastText
Piemontese
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/pms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/pms with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/pms", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 2c5ce710c5eff62b5d84e26cee82a88ba40463023bbbccf5084abf2bc2948c16
- Size of remote file:
- 295 kB
- SHA256:
- 74d8f91f65a62b3f618c4374628ce15619b832603de967e15044ef71ca03574a
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