Comments (8)
I had the exact same question, it might be a good idea to put that in the README
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Sparsembed models are fully open-source.
I'm not sure for Splade since the original work is not open-source. I did create the code from scratch and did not reuse any code or weights from the authors. On my side I put an MIT License on the repository. So I don't know if authors license apply or not to the specific Splade model.
These models on HuggingFace come from a previous version of the lib without any prefix in the query nor the documents [Q] and [D]. You may want to fine-tune a new model on msmarco in order construct a better model.
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thanks @raphaelsty, this really helps.
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+1. @raphaelsty, It would be great if you update the licence info in the huggingface page especially for
https://huggingface.co/raphaelsty/sparsembed-max
https://huggingface.co/raphaelsty/splade-max
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@seganrasan SparseEmbed is open-source,
I don't know about splade-max which I think is non-commercial only even if I wrote a brand new code and train a model with my code code.
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Thanks @raphaelsty. It would be really helpful if you update the licence details of SparseEmbed model in the huggingface page. https://huggingface.co/raphaelsty/sparsembed-max
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Updated the Readme and the HuggingFace models checkpoints
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thanks @raphaelsty
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Related Issues (8)
- License HOT 2
- DeepImpact implementation HOT 1
- How to train ColBERT model on a lot of data? HOT 1
- [Feature request] ColBERT V2 HOT 3
- Mismatch in documents embeddings size HOT 1
- Load the triplets input incrementally HOT 2
- could you please explain the rational behind applying clip on ranking loss HOT 2
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