Text Generation
fastText
Greek
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-greek
Instructions to use wikilangs/el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/el with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/el", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 697f54f2c78defc82d091920bc89c41ac198bdd4b5ac8440b7b59228b69d0c20
- Size of remote file:
- 937 kB
- SHA256:
- e404d8bb694c55dac892595e51ea1e17be3aa2732fe1b053b35a59478c72fcc0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.