Text Generation
fastText
Oromo
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-cushitic
Instructions to use wikilangs/om with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/om with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/om", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download om_morph_tokenizer.json from wikilangs/om: direct link, hf CLI and curl.
- Browser
- Download file 778 kB
-
https://huggingface.co/wikilangs/om/resolve/d64ff6bedef41cc23eabbab64df4157aa0df082d/om_morph_tokenizer.json
- Command line
-
hf download hf://wikilangs/om@d64ff6bedef41cc23eabbab64df4157aa0df082d/om_morph_tokenizer.json
-
curl -L -o om_morph_tokenizer.json https://huggingface.co/wikilangs/om/resolve/d64ff6bedef41cc23eabbab64df4157aa0df082d/om_morph_tokenizer.json
778 kB
File too large to display, you can check the raw version instead.