Created Model card (#1)

- Created Model card (03e8501dd7372280a5b036c71f762d858048172a)
- Update README.md (b6e107142aba872055456c5a675c6776e891bb0f)


Co-authored-by: Anush Shetty <[email protected]>

README.md

@@ -1,3 +1,31 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+pipeline_tag: image-classification
+---
+
+ONNX port of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50).
+
+This model is intended to be used for image classification and similarity searches.
+
+You can find the ONNX port implementation [here](https://github.com/qdrant/fastembed/blob/main/experiments/Example.%20Convert%20Resnet50%20to%20ONNX.ipynb)
+
+### Usage
+
+Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed).
+
+```py
+from fastembed import ImageEmbedding
+
+images = [
+    "./path/to/image1.jpg",
+    "./path/to/image2.jpg",
+]
+
+model = ImageEmbedding(model_name="Qdrant/resnet50-onnx")
+embeddings = list(model.embed(images))
+
+# [
+#   array([-0.1115,  0.0097,  0.0052,  0.0195, ...], dtype=float32),
+#   array([-0.1019,  0.0635, -0.0332,  0.0522, ...], dtype=float32)
+# ]
+```