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:
- 85433dac2ad3f194061cbb2cb234d6994a14ec83c8842a58c708d4efa42923d6
- Size of remote file:
- 262 kB
- SHA256:
- 8c7e8ed147e62c0158ecf84df3bfd45f96d8aebb84ea265ea12c2c89d62b94bc
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