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Add SFR-Embedding-Code-2B_R #2019
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@Muennighoff, I have tried adding meta information for SFR-Embedding-Code-2B_R and tested it for the STS12 task which works perfectly. However, I am not able to evaluate it on all tasks because it takes a very long time even for single tasks on my local. I tried running it on Google Colab but got a Cuda out-of-memory error there though running tasks in batches of 3. So, what is the best way to run the model on all tasks and get the results? |
Doing a PR with just the model meta and working implementation is perfectly fine. Then you can also get a review on potential implementation issues. |
@KennethEnevoldsen ,#2032 is the PR for the Addition of the SFR-Embedding-Code-2B_R model, It was approved, so I am merging it. Can you suggest a solution for the issue related to the generation of results that I mentioned above? |
* Add SFR-Embedding-Code-2B_R(#2019) * make lint * Added HF repo name for adapted_from parameter * replace instruct_wrapper
@Samoed, Isn't evaluation of model on all tasks and adding results to the leaderboard also part of this issue? or will that issue be in the https://github.com/embeddings-benchmark/results repo? |
You can just submit them later |
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