Instructions to use newmindai/TurkEmbed4Retrieval-Static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use newmindai/TurkEmbed4Retrieval-Static with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("newmindai/TurkEmbed4Retrieval-Static") - sentence-transformers
How to use newmindai/TurkEmbed4Retrieval-Static with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("newmindai/TurkEmbed4Retrieval-Static") 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
- Xet hash:
- 872b5864f14f2bd3e6da0a4d20aaf0dffa47eece8999f4e0e92b8d88ba679cdb
- Size of remote file:
- 768 MB
- SHA256:
- bd5c9f8a328b062cf113273ec7d9c117af3a1f095e6f5d12c752f229ce96dd00
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