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

- Xet hash:
- 0c2d12c8122256d7c39dcc26eec8b5197b8d239965f60807f2e1a983b3b6df4a
- Size of remote file:
- 256 kB
- SHA256:
- bc92dca3c39b8df726aa4ee17ca3bef12cb47d1e91586b2fe0e5184c55220ff2
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