Update README.md

README.md

@@ -1,3 +1,48 @@
-# ClipModel
+---
+pipeline_tag: sentence-similarity
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+---
+
+# sentence-transformers/clip-ViT-B-32
+
+<!--- Describe your model here -->
+
+## Usage (Sentence-Transformers)
+
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U sentence-transformers
+```
+
+Then you can use the model like this:
+
+```python
+from sentence_transformers import SentenceTransformer
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('sentence-transformers/clip-ViT-B-32')
+embeddings = model.encode(sentences)
+print(embeddings)
+```
+
+## Evaluation Results
+
+<!--- Describe how your model was evaluated -->
+
+For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=sentence-transformers/clip-ViT-B-32)
+
+## Full Model Architecture
+```
+SentenceTransformer(
+  (0): CLIPModel()
+)
+```
+
+## Citing & Authors
+
+<!--- Describe where people can find more information -->
 
-Awesome model