Fix thirdparty code spelling in comments

xinference/thirdparty/deepseek_vl/models/siglip_vit.py

@@ -92,7 +92,7 @@ def norm_cdf(x):
 def trunc_normal_(tensor, mean=0.0, std=1.0, a=-2.0, b=2.0):
     # type: (torch.Tensor, float, float, float, float) -> torch.Tensor
     r"""The original timm.models.layers.weight_init.trunc_normal_ can not handle bfloat16 yet, here we first
-    convert the tensor to float32, apply the trunc_normal_() in float32, and then convert it back to its orignal dtype.
+    convert the tensor to float32, apply the trunc_normal_() in float32, and then convert it back to its original dtype.
     Fills the input Tensor with values drawn from a truncated normal distribution. The values are effectively drawn
     from the normal distribution :math:`\mathcal{N}(\text{mean}, \text{std}^2)`
     with values outside :math:`[a, b]` redrawn until they are within
@@ -305,7 +305,7 @@ def __init__(
             img_size: Input image size.
             patch_size: Patch size.
             in_chans: Number of image input channels.
-            num_classes: Mumber of classes for classification head.
+            num_classes: Number of classes for classification head.
             global_pool: Type of global pooling for final sequence (default: 'token').
             embed_dim: Transformer embedding dimension.
             depth: Depth of transformer.

xinference/thirdparty/deepseek_vl/serve/assets/custom.css

@@ -141,7 +141,7 @@ thead th {
   color: #fdf8f8;
   box-shadow: 6px 6px 16px hsla(0, 0%, 0%, 0.2);
 }
-/* Hightlight */
+/* Highlight */
 #deepseek_chatbot .highlight {
   background-color: transparent;
 }