Text Generation
fastText
Narom
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/nrm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/nrm with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/nrm", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a5ad0413c66470209c6e55844c26a6a32c67c2465b80754c2b897398cadf05cd
- Size of remote file:
- 687 kB
- SHA256:
- c4863f51400eab2a5f5597b9fa41f880cb90ccf56a1795c28b5a5e0f260ed89c
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