-
Thanks for the great work!
When I tried to train a GNN retriever myself following the instructions [here](https://github.com/cmavro/GNN-RAG/blob/main/gnn/scripts/rearev_cwq.sh), I encountered the i…
-
An important factor in choosing embeddings is the speed of embedding.
I suggest adding a "tab" in the evluation called "Speed" and it would be represented in sentences/sec for example (canalso be t…
-
As the title, has anyone got similar issue?
Traceback (most recent call last):
File "/data//instructor-embedding/clustering.py", line 3, in
model = Instructor('hkunlp/instructor-large')
F…
-
Bug Report
The API server is not working
Steps to Reproduce
I select enable API server, port 4891. Then I type in the browser localhost 127.0.0.1:4891. I get the message "This site can’t be …
-
Hello, I am a graduate student. My research direction is similar to yours, and I am very interested in your paper. Your code is currently running. However, I now encounter a problem that urgently requ…
-
Hi,
I can see how to train embedding model with brand new trainer. but i couldn't see same for crossencoder.
can you point me if i am missing ?
Thanks
https://sbert.net/docs/sentence_transfo…
-
Although Bumblebee already supports many sentence transformer models, the MPNet based ones are currently not usable. Since these are also quite popular on huggingface and also perform the best accordi…
-
Hi,
I'm currently working in a system where I score the document based on a calculated score from two separate retrievals, each one with it's own sbert model (a linear sum of two cosine similarities)…
-
Checking here in case other ppl might also be looking around without any success:
There are few papers out there that use modified version of SBERT, namely the component-focused or part-enhanced et…
-
I read your papers about Augmented SBERT and I find them very interesting. I try to reproduce some of the experiment results in your paper. But how do I get exactly the same data set in the paper?
![…