Yashh

Hey! I have used this https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2 in few chat-bots that i have built. And this really works well even with the large sized llms. You can also check in one...

@Anush008 , ## This one has successfully passed all the tests conducted locally ! Additionally I have updated [onnx_embedding.py ](https://github.com/qdrant/fastembed/pull/197/files#diff-c3531be71315167c13fae0ab3afeb93d52ec56bf9f004e4a60675e369530c4e8)file as it was generating this error : test_embedding(): is_ubuntu_ci =...

Fixes #107

> CI passed. Awesome. > > I see you've contributed the ONNX weights to the BAAI/bge-m3 HF model repo. > > https://huggingface.co/BAAI/bge-m3 > > We can now use the original...

@NirantK , I found a `bge-m3-onnx` model on [HF](https://huggingface.co/ddmitov/bge_m3_dense_colbert_onnx) which supports both dense and ColBERT vectors. I even tested the outputs on colab :https://colab.research.google.com/drive/1wLfKa3zdPkVo3ewnrTu6BHyyo1RrLINL?usp=sharing

however , when I tested it with my bge-m3 onnx model repo for ColBERT vectors .This was the output:https://colab.research.google.com/drive/1SNhC089nCiLixhQVGT-VmYQeOu7WHdba?usp=sharing

Could we test `bge-m3-onnx` with SPLADE vectors like this ? Notebook:https://colab.research.google.com/drive/1phjnxXzUzOMd_x3_015ZImjnBuio5IbW?usp=sharing

@Anush008 could you please review this ?

@NirantK could you please review this ?

@NirantK Thank you immensely for your kind words and recognition. Your appreciation means a lot to me! Your detailed feedback is incredibly helpful in guiding my efforts further. I'm deeply...