Update README.md

README.md

@@ -1,3 +1,44 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+datasets:
+- google/docci
+- google/imageinwords
+language:
+- en
+library_name: transformers
+pipeline_tag: image-text-to-text
+tags:
+- art
+---
+
+Fine-tuned version of PaliGemma 224x224 on [google/docci](https://huggingface.co/datasets/google/docci) and [google/imageinwords](https://huggingface.co/datasets/google/imageinwords) datasets.
+```
+pip install git+https://github.com/huggingface/transformers
+```
+
+```python
+from transformers import AutoProcessor, PaliGemmaForConditionalGeneration
+from PIL import Image
+import requests
+import torch
+
+model_id = "gokaygokay/sd3-long-captioner-v2"
+
+url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg?download=true"
+image = Image.open(requests.get(url, stream=True).raw)
+
+model = PaliGemmaForConditionalGeneration.from_pretrained(model_id).eval()
+processor = AutoProcessor.from_pretrained(model_id)
+
+## prefix
+prompt = "caption en"
+model_inputs = processor(text=prompt, images=image, return_tensors="pt")
+input_len = model_inputs["input_ids"].shape[-1]
+
+with torch.inference_mode():
+    generation = model.generate(**model_inputs, repetition_penalty=1.10, max_new_tokens=256, do_sample=False)
+    generation = generation[0][input_len:]
+    decoded = processor.decode(generation, skip_special_tokens=True)
+    print(decoded)
+
+```