Text Generation
fastText
Lingala
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-bantu_central
Instructions to use wikilangs/ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ln with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ln", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95986d741f7de92d50ab662a5de563478bf5784ff5bf9cdf237ad96d2ea345e2
- Size of remote file:
- 375 kB
- SHA256:
- 104ccb3303cdc2a1511aca3458379fa298bacf11921121d9dd878983f7d6f1e1
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