add readme

README.md

@@ -1,3 +1,27 @@
 ---
 license: apache-2.0
 ---
+
+Use at your own risk:
+
+```python
+from transformers import AutoFeatureExtractor, AutoModelForImageClassification
+from datasets import load_dataset
+import torch
+
+feature_extractor = AutoFeatureExtractor.from_pretrained("fxmarty/tiny-testing-remote-code")
+
+model = AutoModelForImageClassification.from_pretrained("fxmarty/tiny-testing-remote-code", trust_remote_code=True)
+
+dataset = load_dataset("huggingface/cats-image")
+image = dataset["test"]["image"][0]
+
+inputs = feature_extractor(image, return_tensors="pt")
+
+with torch.no_grad():
+    logits = model(**inputs).logits
+
+# model predicts one of the 1000 ImageNet classes
+predicted_label = logits.argmax(-1).item()
+print(model.config.id2label[predicted_label])
+```