Text Generation
fastText
Kannada
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-dravidian_south
Instructions to use wikilangs/kn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/kn with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/kn", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b43303fa4ba318dbbce2bc74ea03ad3f89f9a79ad9411aea1e662f507d4d977
- Size of remote file:
- 2.06 MB
- SHA256:
- 2f13a2fec84be251161d271e1f56a22e25406585cbe425b63ebcc11a16a7c4c8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.