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

- Xet hash:
- 6f37afd8fa30fe5c72f17ec2449b002cb25bae0765fbd52c5b792f6c1cb7177b
- Size of remote file:
- 288 kB
- SHA256:
- 0e89887071bdbd9dc6df43ee323090f8fff017e3ef60545c14b0754c8e4a2812
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.