Text Generation
fastText
Komi
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_permian
Instructions to use wikilangs/kv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/kv with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/kv", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e91d9d4ad2ee0c2e9787656a821e7d71f5d26c74a106dc621091a0f5af064945
- Size of remote file:
- 117 kB
- SHA256:
- 0384819b47c2a3390e0bc72144943dee1ef5430f36006cf3a80dd8275a882a61
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