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:
- 0b56c57eae44ad31c2e86ad3b0786cc0639f10360c4b1b18550abee53d2e1661
- Size of remote file:
- 360 kB
- SHA256:
- b1e02d5a30a70b1bdf77d166fa0f500b4b32e3eb43ffe8986dde1d90a686e02d
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