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:
- 4933697c7aa88d10124f967551bce45eafb87dda7b4ee24ee8c58f8fbf5d1cb9
- Size of remote file:
- 690 kB
- SHA256:
- aa128b5867204dd872f5ca786b723ad926e9b8466eecc26d14ee9061069e6e48
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