Repository: huggingface/transformers
Pull request: Fix ChineseCLIPModel.get_text_features

# What does this PR do?

Currently, `ChineseCLIPModel.get_text_features` will throw the error
```TypeError: linear(): argument 'input' (position 1) must be Tensor, not NoneType.```
This happens because `ChineseCLIPTextModel` inside `ChineseCLIPModel` is instantiated with `add_pooling_layer=False`, while PR #40555 incorrectly treats its output as `BaseModelOutputWithPooling`.
Therefore, I reverted the changes related to this part.


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Changed files:
filename: src/transformers/models/chinese_clip/modeling_chinese_clip.py
patch: @@ -1024,14 +1024,14 @@ def get_text_features(
         ...     text_features = model.get_text_features(**inputs)
         >>> text_features = text_features / text_features.norm(p=2, dim=-1, keepdim=True)
         ```"""
-        text_outputs: BaseModelOutputWithPooling = self.text_model(
+        text_outputs = self.text_model(
             input_ids=input_ids,
             attention_mask=attention_mask,
             token_type_ids=token_type_ids,
             position_ids=position_ids,
         )
 
-        pooled_output = text_outputs.pooler_output
+        pooled_output = text_outputs[0][:, 0, :]
         text_features = self.text_projection(pooled_output)
 
         return text_features