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:
- 31d8bca3caab93398901d0d18c8221e69b4f3cd72d5353ca3632440750691902
- Size of remote file:
- 147 kB
- SHA256:
- ac2f6a82a12ea37e7819bcc220ad12e396a25eb91b3032b9721992133deed906
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