Text Generation
fastText
Turkish
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-turkic_oghuz
Instructions to use wikilangs/tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tr with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tr", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f6a4f97a2111a12cdc15a5c5712e693079fc96821ff3b4a025aa9c886f98d21
- Size of remote file:
- 2.12 GB
- SHA256:
- cc6292266e08d72d7337e8e9befc86abda9d56acc911bfb801dba158f0124bea
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