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

- Xet hash:
- 881f0b34f2248aed9c9b76f3f975dcecc496825c4f5a38fd5c3d6fbdb053356e
- Size of remote file:
- 238 kB
- SHA256:
- 68a533ab185f6572ade7e5f32632c284b2dba71c5c7f838b39e1295e4b0d2046
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