Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-library_name: sentence-transformers
+library_name: transformers
 tags:
 - gte
 - mteb
@@ -2636,6 +2636,8 @@ We also present the [`gte-Qwen1.5-7B-instruct`](https://huggingface.co/Alibaba-N
 Use the code below to get started with the model.
 
 ```python
+# Requires transformers>=4.36.0
+
 import torch.nn.functional as F
 from transformers import AutoModel, AutoTokenizer
 
@@ -2662,12 +2664,14 @@ scores = (embeddings[:1] @ embeddings[1:].T) * 100
 print(scores.tolist())
 ```
 
-**It is recommended to install xformers and enable unpadding for acceleration, refer to [enable-unpadding-and-xformers](https://huggingface.co/Alibaba-NLP/test-impl#recommendation-enable-unpadding-and-acceleration-with-xformers).**
+**It is recommended to install xformers and enable unpadding for acceleration, refer to [enable-unpadding-and-xformers](https://huggingface.co/Alibaba-NLP/new-impl#recommendation-enable-unpadding-and-acceleration-with-xformers).**
 
 
 Use with `sentence-transformers`:
 
 ```python
+# Requires sentence_transformers>=2.7.0
+
 from sentence_transformers import SentenceTransformer
 from sentence_transformers.util import cos_sim