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:
- 5c2caeb3bbc90cf6e371d145fd1b03cd76d941a5c7c4b1a3adcf9650d58dc2d0
- Size of remote file:
- 729 kB
- SHA256:
- e63b6cdb2c1e22203592524af98458998db3927083116be6c227dff6e43929b7
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