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:
- 65edcaabaa54671c0cb932ddb998cb94eec4fba9ef089eb74a88a658b67919dc
- Size of remote file:
- 373 kB
- SHA256:
- d99a9bbc99fcc6e0b380eb72e89d69c95e6a1a586135f4562e6d175f9b107f0d
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