How to use TencentBAC/Conan-embedding-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("TencentBAC/Conan-embedding-v2") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use TencentBAC/Conan-embedding-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TencentBAC/Conan-embedding-v2", dtype="auto")
Can you please explain and/or release the code and datasets of the performance tests on the model?
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