Create README.md

README.md

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+## Usage
+```python
+from transformers import AutoProcessor, LlavaOnevisionForConditionalGeneration
+
+model = LlavaOnevisionForConditionalGeneration.from_pretrained("NicoZenith/onevision-7b-all-vqa-conv")
+processor = AutoProcessor.from_pretrained("NicoZenith/onevision-7b-all-vqa-conv")i
+
+conversation = [
+    {
+
+      "role": "user",
+      "content": [
+          {"type": "text", "text": "What can you say about this X-ray?"},
+          {"type": "image"},
+        ],
+    },
+]
+
+
+prompt = processor.apply_chat_template(conversation, add_generation_prompt=True)
+
+image_file = "http://images.cocodataset.org/val2017/000000039769.jpg"
+raw_image = Image.open(requests.get(image_file, stream=True).raw)
+inputs = processor(images=raw_image, text=prompt, return_tensors='pt').to(0, torch.float16)