* MiniLM fix
* Added MiniLM to text embedding
Fixed MiniLM source destination
Black + isort for repo
* Fixed model all-MiniLM-L6-v2 description
Recomputed canonical vector for all-MiniLM-L6-v2 in test
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Co-authored-by: d.rudenko <dimitriyrudenk@gmail.com>
* Resnet support added
* Tests fixed
Shapes matching for Resnet50-onnx
Example of Resnet50 to onnx conversion (basic)
* Removed optional conversion from PIL to np.ndarray and now it it's made default
Fixed test accordingly
* Refactoring of pil2ndarray
* Partial support of convnext preprocessing
Resize logic
* normalize canonical value
* Style changes for review
* new: update resnet repo
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Co-authored-by: d.rudenko <dimitriyrudenk@gmail.com>
Co-authored-by: George Panchuk <george.panchuk@qdrant.tech>
* Add SPLADE v1
* WIP SPLADE Export errors
* add ONNX model to HF hub and use that
* Update sentences in Converting_SPLADE_to_ONNX.ipynb
* Remove unnecessary files and directories
* Rename var in TextEmbedding class to use EMBEDDING_MODEL_TYPE
* Add SPLADE to list of text embeddings
* Add SPLADE model support for text embedding
* Fix deprecation warning in embedding.py
* Add test for batch embedding with sparse embeddings
* Refactor import statement in test_sparse_embeddings.py
* Rename nbs
* Update vocab size in SPLADE model
* Fix canonical vector lookup in test_text_onnx_embeddings.py
* review refactoring
* restore list_supported_models in OnnxTextEmbedding
* Remove unused method _preprocess_onnx_input() in SpladePP class
* Update SPLADE_PP_en_v1 source in splade_pp.py
* Refactor onnx_model.py to change base model behavior
* extend tests to sparse values as well as indicies
* chore: pre-commit hooks
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Co-authored-by: generall <andrey@vasnetsov.com>
Co-authored-by: Anush008 <anushshetty90@gmail.com>
