Instructions to use Trendyol/TY-ecomm-embed-multilingual-base-v1.2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Trendyol/TY-ecomm-embed-multilingual-base-v1.2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Trendyol/TY-ecomm-embed-multilingual-base-v1.2.0", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Fix task tag
#1
by merve HF Staff - opened
Selamlar & tebrikler! Fixing the metadata so model can be found easier.
Hello Merve ππ» Thanks for your support ππ»
yusufcakmak changed pull request status to merged
very proud of all that you guys ship π€