readme: onnx final outputs (#68)

Update custom_st.py to be compatible with Python 3.8 (#55)

remove-st-prompt-length (#53)

Save Transformer module in root when training with ST (#50)

Add compatibility with Sentence Transformers v3.2.0 (#45)

readme: finetuning (#43)

feat: finetuning via ST (#42)

Update config.json

Add Sentence Transformers tag (#37)

Enable saving in SentenceTransformers by adding get_config_dict (#32)

chore: patch readme on api

chore: patch readme on api

add polish retrieval socre (#29)

Update ONNX weights (#24)

chore: patch readme license

chore: patch readme license

chore: patch multi-class classification rus scores

chore: patch polish ppc pc

Merge branch 'main' of https://huggingface.co./jinaai/jina-embeddings-v2

chore: patch eighttags clustering pl

support ST for python3.8+ (#23)

chore: patch cmedqa name

chore: patch xqpa fr

chore: patch mindsmall reranking score

readme-adjustments (#21)

onnx-checkpoint (#19)

chore: update readme

chore: update readme

Adding `safetensors` variant of this model (#20)

refactor-task (#18)

docs: update readme

Merge branch 'main' of https://huggingface.co./jinaai/jina-embeddings-v3

feat: add the dimension notes

Update README.md (#1)

feat: update the benchmarks

feat: update the benchmarks

feat: update black formatting

feat: fix the code snippets

docs: update the README

Update README.md (#17)

Update config_sentence_transformers.json

readme: minor changes

refactor: define prompts in configuration (#16)

readme: performance (#13)

refactor: clean up num_examples code (#14)

fix: not properly reference config (#12)

readme: usage (#3)

fix: make sure data and adapter on same device (#11)

fix device and use auto model (#10)

fix: add missing adaption map (#9)