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
Download visualizations/zipf_law.png from wikilangs/igl: direct link, hf CLI and curl.
- Browser
- Download file 106 kB
-
https://huggingface.co/wikilangs/igl/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/igl/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/igl/resolve/main/visualizations/zipf_law.png
106 kB

- Xet hash:
- 94bd7b77ee905024847b7c4fc6dda9973a5da5e308f070ff5cc707c5fac151f0
- Size of remote file:
- 106 kB
- SHA256:
- ccbc3f571585467f84769e7d750d84ee6d5d29f25774d08e3220b4d091494fb3
·
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