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:
- bde676e05641c8d6ee8f869c153f391b919dba1072f1cae6dc431ff6b204cafa
- Size of remote file:
- 1.03 GB
- SHA256:
- 7e0a403dc89892dd465cd71465799271c69f4fc18eff95e84edc78aabad573ac
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