Added Colab notebooks to convert, quantize, and inference PaliGemma 2 with Transformers.js using its ONNX weights.

Author: NSTiwari

PaliGemma/README.md

@@ -17,6 +17,9 @@ This folder is organized into several categories, each focusing on a speicific a
 | [[PaliGemma_1]Zero_shot_object_detection_in_videos.ipynb]([PaliGemma_1]Zero_shot_object_detection_in_videos.ipynb)               | Zero-shot Object Detection in videos using PaliGemma.                                                                                                               |
 | [[PaliGemma_2]Keras_Quickstart.ipynb]([PaliGemma_2]Keras_Quickstart.ipynb)                                                              | PaliGemma 2 3B DOCCI model quickstart tutorial with Keras                                                                                                        |
 | [[PaliGemma_2]Using_with_Transformersjs.ipynb]([PaliGemma_2]Using_with_Transformersjs.ipynb)                                                         | Run PaliGemma 2 with Transformers.js.                                                                                                                                      |
+| [[PaliGemma_2]Convert_PaliGemma2_to_ONNX.ipynb]([PaliGemma_2]Convert_PaliGemma2_to_ONNX.ipynb)                                                     | Convert and quantize PaliGemma 2 to ONNX format, making it compatible for inferencing with Transformers.js.                                                                                                                                    |
+| [[PaliGemma_2]Inference_PaliGemma2_with_Transformers_js.ipynb]([PaliGemma_2]Inference_PaliGemma2_with_Transformers_js.ipynb)                                                     | Inference PaliGemma 2 with Transformers.js for tasks like image captioning, zero-shot object detection, OCR, and visual Q&A.                                                                                                                                    |
+
 ## Finetuning
 | Notebook Name | Description |
 | :----------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
@@ -25,6 +28,4 @@ This folder is organized into several categories, each focusing on a speicific a
 | [[PaliGemma_1]Finetune_with_image_description.ipynb]([PaliGemma_1]Finetune_with_image_description.ipynb)                                       | Finetune PaliGemma for image description using [JAX](https://github.com/google/jax).                                                                                |
 | [[PaliGemma_1]Finetune_with_object_detection.ipynb]([PaliGemma_1]Finetune_with_object_detection.ipynb)                                       | Fine-tune PaliGemma for object detection on a fashion dataset using [JAX](https://github.com/google/jax).                                                                                |
 | [[PaliGemma_2]Finetune_with_JAX.ipynb]([PaliGemma_2]Finetune_with_JAX.ipynb)                                                         | Finetune PaliGemma 2 with JAX.                                                                                                                                      |
-| [[PaliGemma_2]Finetune_with_Keras.ipynb]([PaliGemma_2]Finetune_with_Keras.ipynb)                                                     | Finetune PaliGemma 2 with Keras.                                                                                                                                    |
-| [[PaliGemma_2]Convert_PaliGemma2_to_ONNX.ipynb]([PaliGemma_2]Convert_PaliGemma2_to_ONNX.ipynb)                                                     | Convert and quantize PaliGemma 2 to ONNX format, making it compatible for inferencing with Transformers.js.                                                                                                                                    |
-| [[PaliGemma_2]Inference_PaliGemma2_with_Transformers_js.ipynb]([PaliGemma_2]Inference_PaliGemma2_with_Transformers_js.ipynb)                                                     | Inference PaliGemma 2 with Transformers.js for tasks like image captioning, zero-shot object detection, OCR, and visual Q&A.                                                                                                                                    |
+| [[PaliGemma_2]Finetune_with_Keras.ipynb]([PaliGemma_2]Finetune_with_Keras.ipynb)                                                     | Finetune PaliGemma 2 with Keras.                                                                                                                                    |