Update README.md

README.md

@@ -2708,7 +2708,7 @@ embeddings = model.encode(
 )
 ```
 
-Using the its latest release (v2.3.0) sentence-transformers also supports Jina embeddings (Please make sure that you are logged into huggingface as well):
+The latest sentence-transformers also supports Jina embeddings:
 
 ```python
 !pip install -U sentence-transformers
@@ -2761,17 +2761,6 @@ This is caused by tranformers falling back to creating a default BERT model, ins
 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', ...
 ```
 
-
-**User is not logged into Huggingface**
-
-The model is only availabe under [gated access](https://huggingface.co/docs/hub/models-gated).
-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'
-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`.
-```
-
 ## Contact
 
 Join our [Discord community](https://discord.jina.ai) and chat with other community members about ideas.