Text Generation
fastText
Somali
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/so with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/so with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/so", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- f03c0e701f995794f1b5cb5189b9cdb642a829538b738359b52aea38ec02014f
- Size of remote file:
- 648 kB
- SHA256:
- ac44b6d743742892ebef221d0417188cdfe30c29b43aa314eaadd5320943a950
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.