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:
- 148ce9153f53f82e7b9eb1574536a03584106469a5a89fc7a766e242fab39851
- Size of remote file:
- 369 kB
- SHA256:
- 9a29d8d321b24f614bdbb151b55d3126c9a423f1aed7863e96abde68c33adb0e
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