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:
- 0b02571d3fc0af31d1546c81de666c3422efb5d6f7231a35b6db6bb17bb87f77
- Size of remote file:
- 267 kB
- SHA256:
- 8a0c5fa39206d7e8a1cbd2f1c1459e8ec4bc9c32bafe4badd91338bada0ae8c2
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