Update README.md

README.md

@@ -89,6 +89,35 @@ print(outputs["h"].shape)  # [4, 128]
 print(outputs["z"].shape)  # [4, projector_out2]
 ```
 
+This repository is public, and no Hugging Face authentication is required to download or use the model.
+
+Users may see a warning when accessing the model without authentication. This warning is harmless and can be safely ignored.
+
+However, users may optionally authenticate using their own Hugging Face account by passing their access_token as follows:
+
+```py
+import torch
+from transformers import AutoModel
+
+model = AutoModel.from_pretrained(
+    "SaeedLab/NeuroCLR",
+    subfolder="pretraining",
+    trust_remote_code=True,
+    access_token=your_huggingface_token
+)
+
+model.eval()
+
+x = torch.randn(4, 1, 128)  # [batch, sequence_length, embedding_dim]
+
+with torch.no_grad():
+    outputs = model(x)
+
+print(outputs["h"].shape)  # [4, 128]
+print(outputs["z"].shape)  # [4, projector_out2]
+```
+
+
 ### Load the Downstream Classification Model
 ```py
 import torch