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

- Xet hash:
- 73b484dfddc08eb0d6352a6e3d1cfc1a776e0e4103953417af2cdf61c3d40b0c
- Size of remote file:
- 119 kB
- SHA256:
- 6281e621c533957d9f3ced77a129a39de8680084df24e2551b591ad50dc8fa5d
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