| base_model: sentence-transformers/all-mpnet-base-v2 | |
| datasets: | |
| - s2orc | |
| - flax-sentence-embeddings/stackexchange_xml | |
| - ms_marco | |
| - gooaq | |
| - yahoo_answers_topics | |
| - code_search_net | |
| - search_qa | |
| - eli5 | |
| - snli | |
| - multi_nli | |
| - wikihow | |
| - natural_questions | |
| - trivia_qa | |
| - embedding-data/sentence-compression | |
| - embedding-data/flickr30k-captions | |
| - embedding-data/altlex | |
| - embedding-data/simple-wiki | |
| - embedding-data/QQP | |
| - embedding-data/SPECTER | |
| - embedding-data/PAQ_pairs | |
| - embedding-data/WikiAnswers | |
| language: en | |
| library_name: sentence-transformers | |
| license: apache-2.0 | |
| pipeline_tag: sentence-similarity | |
| tags: | |
| - sentence-transformers | |
| - feature-extraction | |
| - sentence-similarity | |
| - transformers | |
| - openvino | |
| - nncf | |
| - 8-bit | |
| base_model_relation: quantized | |
| This model is a quantized version of [`sentence-transformers/all-mpnet-base-v2`](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) and is converted to the OpenVINO format. This model was obtained via the [nncf-quantization](https://huggingface.co/spaces/echarlaix/nncf-quantization) space with [optimum-intel](https://github.com/huggingface/optimum-intel). | |
| First make sure you have `optimum-intel` installed: | |
| ```bash | |
| pip install optimum[openvino] | |
| ``` | |
| To load your model you can do as follows: | |
| ```python | |
| from optimum.intel import OVModelForFeatureExtraction | |
| model_id = "AIFunOver/all-mpnet-base-v2-openvino-8bit" | |
| model = OVModelForFeatureExtraction.from_pretrained(model_id) | |
| ``` | |