Extending a model to new languages is easy by following the description here.
Image & Text-Models
The following models can embed images and text into a joint vector space. See Image Search  for more details how to use for text2image-search, image2image-search, image clustering, and zero-shot image classification.
- clip-ViT-B-32 - OpenAPI CLIP Model
- clip-ViT-B-32-multilingual-v1 - Multilingual text encoder for the CLIP model using Multilingual Knowledge Distillation.
Other Models
Scientific Publications
SPECTER is a model trained on scientific citations and can be used to estimate the similarity of two publications. We can use it to find similar papers.
allenai-specter - Semantic Search Python Example / Semantic Search Colab Example
Natural Questions (NQ) Dataset Models
The following models were trained on Google's Natural Questions dataset, a dataset with 100k real queries from Google search together with the relevant passages from Wikipedia.
