Update README.md

README.md

@@ -1200,7 +1200,7 @@ from sentence_transformers import SentenceTransformer
 from sentence_transformers.util import cos_sim
 
 model = SentenceTransformer(
-    "jinaai/jina-embeddings-v2-base-de", # switch to en/zh for English or Chinese
+    "jinaai/jina-embeddings-v2-base-zh", # switch to en/zh for English or Chinese
     trust_remote_code=True
 )
 
@@ -1209,7 +1209,7 @@ model.max_seq_length = 1024
 
 embeddings = model.encode([
     'How is the weather today?',
-    'Wie ist das Wetter heute?'
+    '今天天气怎么样?'
 ])
 print(cos_sim(embeddings[0], embeddings[1]))
 ```
@@ -1235,7 +1235,7 @@ If you forgot to pass the `trust_remote_code=True` flag when calling `AutoModel.
 This is caused by tranformers falling back to creating a default BERT model, instead of a jina-embedding model:
 
 ```bash
-Some weights of the model checkpoint at jinaai/jina-embeddings-v2-base-en were not used when initializing BertModel: ['encoder.layer.2.mlp.layernorm.weight', 'encoder.layer.3.mlp.layernorm.weight', 'encoder.layer.10.mlp.wo.bias', 'encoder.layer.5.mlp.wo.bias', 'encoder.layer.2.mlp.layernorm.bias', 'encoder.layer.1.mlp.gated_layers.weight', 'encoder.layer.5.mlp.gated_layers.weight', 'encoder.layer.8.mlp.layernorm.bias', ...
+Some weights of the model checkpoint at jinaai/jina-embeddings-v2-base-zh were not used when initializing BertModel: ['encoder.layer.2.mlp.layernorm.weight', 'encoder.layer.3.mlp.layernorm.weight', 'encoder.layer.10.mlp.wo.bias', 'encoder.layer.5.mlp.wo.bias', 'encoder.layer.2.mlp.layernorm.bias', 'encoder.layer.1.mlp.gated_layers.weight', 'encoder.layer.5.mlp.gated_layers.weight', 'encoder.layer.8.mlp.layernorm.bias', ...
 ```
 
 **User is not logged into Huggingface**
@@ -1244,7 +1244,7 @@ The model is only availabe under [gated access](https://huggingface.co/docs/hub/
 This means you need to be logged into huggingface load load it.
 If you receive the following error, you need to provide an access token, either by using the huggingface-cli or providing the token via an environment variable as described above:
 ```bash
-OSError: jinaai/jina-embeddings-v2-base-en is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
+OSError: jinaai/jina-embeddings-v2-base-zh is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
 If this is a private repository, make sure to pass a token having permission to this repo with `use_auth_token` or log in with `huggingface-cli login` and pass `use_auth_token=True`.
 ```