Update README.md

README.md

@@ -3140,9 +3140,6 @@ Des Weiteren stellen wir folgende Embedding-Modelle bereit:
 - [`jina-embeddings-v2-base-zh`](https://huggingface.co/jinaai/jina-embeddings-v2-base-zh): 161 million parameters Chinese-English Bilingual embeddings.
 - [`jina-embeddings-v2-base-de`](https://huggingface.co/jinaai/jina-embeddings-v2-base-de): 161 million parameters German-English Bilingual embeddings **(you are here)**.
 - _[`jina-embeddings-v2-base-es`](): Spanish-English Bilingual embeddings (soon)._
-- _Bilingual embedding models in other world languages (soon)._
-- _Multimodal-input embedding model (soon)._
-- _High-performing reranking model (soon)._
 
 ## Data & Parameters
 
@@ -3210,19 +3207,6 @@ embeddings = model.encode(
 )
 ```
 
-If you want to use the model together with the [sentence-transformers package](https://github.com/UKPLab/sentence-transformers/), make sure that you have installed the latest release and set `trust_remote_code=True` as well:
-
-```
-!pip install -U sentence-transformers
-from sentence_transformers import SentenceTransformer
-from numpy.linalg import norm
-
-cos_sim = lambda a,b: (a @ b.T) / (norm(a)*norm(b))
-model = SentenceTransformer('jinaai/jina-embeddings-v2-base-de', trust_remote_code=True)
-embeddings = model.encode(['How is the weather today?', 'Wie ist das Wetter heute?'])
-print(cos_sim(embeddings[0], embeddings[1]))
-```
-
 ## Alternatives to Using Transformers Package
 
 1. _Managed SaaS_: Get started with a free key on Jina AI's [Embedding API](https://jina.ai/embeddings/).