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:
- b09e3ba7d81e495ec2e2f5e919f6d440f40797c1b58a4f7369b0ecb2dd7ee594
- Size of remote file:
- 115 kB
- SHA256:
- 654fa8c5ad6b35efc42f98fa3bde558b9cb985698e79ff18e9574a135f271bef
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