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

- Xet hash:
- 13e034d9b66e002480ee937e27b2db285cdd9a1a53c86028b3cbfd7dab531c0b
- Size of remote file:
- 119 kB
- SHA256:
- dab310a1f0bb05a9c7e830925a02445b9cb28a098cbdb93ed63160e86c3bd712
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.