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:
- 445f0d9a9883c5b8c6c2081863e1ce055b31d6d5ab125734a728a53fd88f713d
- Size of remote file:
- 796 kB
- SHA256:
- 0f0d69f61be9ad8724a45e4097f079f77c5ef06273887e3f740fa9a48d9cf237
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