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

- Xet hash:
- d7f5fa2a798196d0ff1cde9950315cd38dab59b071dadcde478adcb96e5b80e6
- Size of remote file:
- 106 kB
- SHA256:
- 7d1c9223bb4bd036128fd2f56006a152803979b3d2108b8b07da5920cbf2d876
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.