Text Generation
fastText
Nupe-Nupe-Tako
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_other
Instructions to use wikilangs/nup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/nup with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/nup", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99031e24abfa8fc33bb6b5d0bd70f1e666a0ad68971a3624f36ff9c52f04739a
- Size of remote file:
- 256 MB
- SHA256:
- d91b008de4ef04b737cf59dd0880e7f6ebb89846b7a82378a5b7847b3965221e
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