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.gitattributes

@@ -1,2 +1 @@
 *.safetensors filter=lfs diff=lfs merge=lfs -text
-tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -30,10 +30,10 @@ import torch
 from qwen_vl_utils import process_vision_info
 from transformers import AutoModel, AutoProcessor
 
-model_path = "/path/to/WeMM-Embedding-9B"
-processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True)
+model_id = "tencent/WeMM-Embedding-9B"
+processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
 model = AutoModel.from_pretrained(
-    model_path, trust_remote_code=True, dtype=torch.bfloat16
+    model_id, trust_remote_code=True, dtype=torch.bfloat16
 ).cuda().eval()
 
 messages = [{"role": "user", "content": [
@@ -75,8 +75,8 @@ Use any subset of the content items to encode text, image, or video independentl
 ```python
 from wemm_sentence_transformers import load_wemm_sentence_transformer
 
-model_path = "/path/to/WeMM-Embedding-9B"
-model = load_wemm_sentence_transformer(model_path, device="cuda:0")
+model_id = "tencent/WeMM-Embedding-9B"
+model = load_wemm_sentence_transformer(model_id, device="cuda:0")
 inputs = [
     "A dog is running on a beach.",
     {"image": "/path/to/image.jpg", "text": "Represent this image."},