Accompanying Paper?
Hello! Thanks for uploading this embedding model :)
Is there an accompanying paper or any other resource that provides background for this model?
The introduction paper associated with the model is expected to be publicly available on arXiv in approximately one week. At that time, we will also include the paper details in the model card.
Thanks for the model. It is really fantastic. I have used it in hugging face embeddings in langchain for vectorstore based semantic search retrieval and reranking. It worked well out of the box.
must fine-tune
Hello,
Do you know why i have (after local copy):
Using:
from sentence_transformers import SentenceTransformer
from sentence_transformers.util import cos_sim
sentences = ['That is a happy person', 'That is a very happy person']
model = SentenceTransformer('thenlper/gte-large')
embeddings = model.encode(sentences)
print(cos_sim(embeddings[0], embeddings[1]))
No sentence-transformers model found with name sentence-transformers/gte-large. Creating a new one with MEAN pooling.
Thanks