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
Browse filesSelamlar & tebrikler! Fixing the metadata so model can be found easier.
README.md
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library_name: sentence-transformers
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base_model:
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- Alibaba-NLP/gte-multilingual-base
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library_name: sentence-transformers
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base_model:
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- Alibaba-NLP/gte-multilingual-base
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pipeline_tag: sentence-similarity
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