* Fix types in test_run.py
* Get test_run.py to pass fmt-check
* Add test_run to mypy checks
* Update test folder to pass ruff linting
* Fix merge
* Fix HF tests
* Fix hf test
* Try to fix tests
* Another attempt
* minor fix
* fix SentenceTransformersDiversityRanker
* skip integrations tests due to model unavailable on HF inference
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Co-authored-by: anakin87 <stefanofiorucci@gmail.com>
* initial rough draft
* expose backend instead of extracting from model_kwargs
* explictly set backend model path
* add reno
* expose backend for ST diversity backend
* add dtype tests and expose kwargs to ST ranker for backend parameters
* skip dtype tests as torch isnt compiled with cuda
* add new openvino dependency release, unskip tests
* resolve suggestion
* mock calls, turn integrations into unit tests
* remove unnecessary test dependencies
* feat: SentenceTransformersDocumentEmbedder and SentenceTransformersTextEmbedder can accept and pass any arguments to SentenceTransformer.encode
* refactor: encode_kwargs parameter of SentenceTransformersDocumentEmbedder and SentenceTransformersTextEmbedder mae to be the last positional parameter for backward compatibility reasons
* docs: added explanation for encode_kwargs in SentenceTransformersTextEmbedder and SentenceTransformersDocumentEmbedder
* test: added tests for encode_kwargs in SentenceTransformersTextEmbedder and SentenceTransformersDocumentEmbedder
* doc: removed empty lines from docstrings of SentenceTransformersTextEmbedder and SentenceTransformersDocumentEmbedder
* refactor: encode_kwargs parameter of SentenceTransformersDocumentEmbedder and SentenceTransformersTextEmbedder mae to be the last positional parameter for backward compatibility (part II.)
* reduced usage of numpy and substituted built-in libraries
* added release note
* edited expit function to support both float as well as list (this case was giving error CI)
* revert code , numpy can't be removed here
* more cleaning
* fix relnote
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Co-authored-by: anakin87 <stefanofiorucci@gmail.com>
* Start adding model and tokenizer kwargs support
* Add model and tokenizer kwargs to doc embedder
* Some updates and fixes in tests
* Fix more tests
* Fix tests
* Add release note
* Fix test
* Add from_dict tests
* Fix from_dict to work if device isn't provided in init params
* Minor refactoring of from_dict for components that load HF models
* Add tests
* Update tests to test loading with all default parameters
* Add more tests
* Add release notes
* Add unit test for whisper local
* Update reno
* Add fix for ExtractiveReader
* Fix NamedEntityExtractor
* fix: Update device deserializtion for SentenceTransformersTextEmbedder
* Add unit test
* Fix unit test
* Make same change to doc embedder
* Add release notes
* Add same change to Diversity Ranker and Named Entity Extractor
* Add unit test
* Add the same for whisper local
* Update release notes
* rename model parameter in the openai doc embedder
* fix tests for openai doc embedder
* rename model parameter in the openai text embedder
* fix tests for openai text embedder
* rename model parameter in the st doc embedder
* fix tests for st doc embedder
* rename model parameter in the st backend
* fix tests for st backend
* rename model parameter in the st text embedder
* fix tests for st text embedder
* fix docstring
* fix pipeline utils
* fix e2e
* reno
* fix the indexing pipeline _create_embedder function
* fix e2e eval rag pipeline
* pytest
