update version to 2.1.0

examples/applications/image-search/example.py

@@ -1,8 +1,39 @@
-from sentence_transformers import SentenceTransformer, util
-from PIL import Image
+from sentence_transformers import SentenceTransformer, util, models
+from PIL import ImageFile, Image
+import numpy as np
+import requests
+
+
+
+
+###########
+
+image = Image.open('two_dogs_in_snow.jpg')
+
+from transformers import CLIPProcessor, CLIPModel
+
+model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
+processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
+
+
+
+inputs = processor(texts=["a cat", "a dog"], images=[image], return_tensors="pt", padding=True)
+output = model(**inputs)
+#vision_outputs = model.vision_model(pixel_values=inputs['pixel_values'])
+#image_embeds = model.visual_projection(vision_outputs[1])
+
+#print(image_embeds.shape)
+#exit()
+
+
 
 #Load CLIP model
-model = SentenceTransformer('clip-ViT-B-32')
+clip = models.CLIPModel()
+model = SentenceTransformer(modules=[clip])
+
+model.save('tmp-clip-model')
+
+model = SentenceTransformer('tmp-clip-model')
 
 #Encode an image:
 img_emb = model.encode(Image.open('two_dogs_in_snow.jpg'))

sentence_transformers/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "2.0.0"
+__version__ = "2.1.0"
 __MODEL_HUB_ORGANIZATION__ = 'sentence-transformers'
 from .datasets import SentencesDataset, ParallelSentencesDataset
 from .LoggingHandler import LoggingHandler

setup.py

@@ -7,7 +7,7 @@
 
 setup(
     name="sentence-transformers",
-    version="2.0.0",
+    version="2.1.0",
     author="Nils Reimers",
     author_email="info@nils-reimers.de",
     description="Sentence Embeddings using BERT / RoBERTa / XLM-R",