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### What would you like to see?
Would like to see support for Gpt4all and sBert plugins.
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The below code fails! is there any way to make your generated model to be compatible with sbert?
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("minishlab/M2V_ba…
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### Model description
Hello! Thanks for this great work :)
Previously, I implemented [mpnet-rs](https://github.com/NewBornRustacean/mpnet-rs) and found a related issue(feature request) #33
If …
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Hi,
Thanks for the great paper and library. Just curious to know if it can also be used to check similarity between images if image input features are given to the model. It may be a naive questio…
ghost updated
4 months ago
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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…
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Traceback (most recent call last):
File "/kaggle/input/instructor/instructor-embedding-main/train.py", line 590, in
main()
File "/kaggle/input/instructor/instructor-embedding-main/train.py…
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that can solve the problem " Instructor._load_sbert_model() got an unexpected keyword argument 'local_files_only'"
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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…
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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)…
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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…