add info on using the model

README.md

@@ -27,6 +27,35 @@ More information needed
 
 ## Intended uses & limitations
 
+### Using in a transformer pipeline 
+
+The easiest way to use this model is via a [Transformers pipeline](https://huggingface.co/docs/transformers/main/en/pipeline_tutorial#vision-pipeline). To do this you should first load the model and feature extractor:
+
+```python 
+from transformers import AutoFeatureExtractor, AutoModelForObjectDetection
+
+extractor = AutoFeatureExtractor.from_pretrained("davanstrien/detr-resnet-50_fine_tuned_nls_chapbooks")
+
+model = AutoModelForObjectDetection.from_pretrained("davanstrien/detr-resnet-50_fine_tuned_nls_chapbooks")
+```
+
+Then you can create a pipeline for object detection using the model 
+
+```python
+from transformers import pipeline
+
+pipe = pipeline('object-detection',model=model, feature_extractor=extractor)
+```
+
+To use this to make predictions pass in an image (or a file-path/URL for the image):
+
+```python 
+>>> pipe("https://huggingface.co/davanstrien/detr-resnet-50_fine_tuned_nls_chapbooks/resolve/main/Chapbook_Jack_the_Giant_Killer.jpg")
+[{'box': {'xmax': 290, 'xmin': 70, 'ymax': 510, 'ymin': 261},
+  'label': 'early_printed_illustration',
+  'score': 0.998455286026001}]
+ ```
+
 More information needed
 
 ## Training and evaluation data