Upload Vision_Releases_transformers_4_56.ipynb

Vision_Releases_transformers_4_56.ipynb

@@ -1737,7 +1737,7 @@
         "\n",
         "New transformers release comes with amazing vision/multimodal models: Florence-2 by MSFT, SAM-2 by Meta, KOSMOS-2.5 by MSFT, MetaCLIP2 by Meta, all runnable in Colab free tier. This notebook enables you to try them all!\n",
         "\n",
-        "Note: This notebook has a lot of image outputs, so you need to run the notebook to see them."
+        "Note: This notebook has a lot of image outputs, so you need to run the notebook to see them. There's links at the end for each model's documentation, check them out for more inference options & info!"
       ],
       "metadata": {
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@@ -1809,7 +1809,7 @@
       "metadata": {
         "id": "JudF0LvsgInQ"
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+      "execution_count": null,
       "outputs": []
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@@ -1824,7 +1824,7 @@
       "metadata": {
         "id": "s3oe_JZ0hiY5"
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-      "execution_count": 13,
+      "execution_count": null,
       "outputs": []
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@@ -1841,7 +1841,7 @@
         },
         "outputId": "750f0535-6804-403e-98d7-da390d4a1be3"
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-      "execution_count": 14,
+      "execution_count": null,
       "outputs": [
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@@ -1877,7 +1877,7 @@
       "metadata": {
         "id": "FndxHptOinaC"
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-      "execution_count": 15,
+      "execution_count": null,
       "outputs": []
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@@ -1894,7 +1894,7 @@
         },
         "outputId": "de6c2001-caef-4184-8430-448815eabbb3"
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-      "execution_count": 16,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -1978,7 +1978,7 @@
       "source": [
         "## Kosmos 2.5\n",
         "\n",
-        "Kosmos 2.5 by Microsoft is a great document model that can not only convert documents to markdown, it also can locate meaningful structures on documents.\n",
+        "Kosmos 2.5 by Microsoft is a great document model that can not only convert documents to markdown, it also can locate meaningful structures on documents and indicate parts of documents with bounding boxes. You can try [this demo](https://huggingface.co/spaces/nielsr/kosmos-2.5-demo) to see what it can do.\n",
         "It has a \"normal\" checkpoint and a \"chat\" checkpoint which can be used for VQA tasks. Let's see how to use it."
       ],
       "metadata": {
@@ -2012,7 +2012,7 @@
       "metadata": {
         "id": "tPSqn-POl4up"
       },
-      "execution_count": 3,
+      "execution_count": null,
       "outputs": []
     },
     {
@@ -2054,7 +2054,7 @@
         },
         "outputId": "0bdc32d0-3897-46ef-f897-b2208e1cc28d"
       },
-      "execution_count": 4,
+      "execution_count": null,
       "outputs": [
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@@ -2157,7 +2157,7 @@
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         "outputId": "58d36158-c08c-4faf-897c-f9a83ce02760"
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-      "execution_count": 6,
+      "execution_count": null,
       "outputs": [
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@@ -2208,7 +2208,7 @@
       "metadata": {
         "id": "VbHH5RQ2qzlo"
       },
-      "execution_count": 8,
+      "execution_count": null,
       "outputs": []
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     {
@@ -2221,7 +2221,7 @@
       "metadata": {
         "id": "XjCTXKWCmWdI"
       },
-      "execution_count": 9,
+      "execution_count": null,
       "outputs": []
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@@ -2249,7 +2249,7 @@
         },
         "outputId": "bab3453d-5846-4518-be23-92cdc0d9e5a1"
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-      "execution_count": 10,
+      "execution_count": null,
       "outputs": [
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@@ -2345,7 +2345,7 @@
         },
         "outputId": "3f012250-0a09-492e-d675-3950ff447e5f"
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-      "execution_count": 1,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "display_data",
@@ -2452,7 +2452,7 @@
       "metadata": {
         "id": "kxbraMeuvMni"
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-      "execution_count": 2,
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@@ -2482,7 +2482,7 @@
       "metadata": {
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@@ -2506,7 +2506,7 @@
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@@ -2606,7 +2606,7 @@
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         "outputId": "d3b3bc0c-058d-46bd-a1fb-df128f81acef"
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@@ -2648,7 +2648,7 @@
       "metadata": {
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@@ -2683,7 +2683,7 @@
       "metadata": {
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@@ -2706,7 +2706,7 @@
       "metadata": {
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@@ -2717,7 +2717,7 @@
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@@ -2750,7 +2750,7 @@
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@@ -2772,7 +2772,7 @@
         "id": "fhhtCRo2S6hR",
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       "outputs": [
         {
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@@ -2855,9 +2855,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "eX-_Cl9jVMQA",
-        "outputId": "78284741-50e9-40ac-8fe3-bee5b453f70f"
+        "outputId": "2ab6a027-9467-4183-875b-a55cd874d862"
       },
-      "execution_count": 38,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2873,7 +2873,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 38
+          "execution_count": 41
         }
       ]
     },
@@ -2902,6 +2902,21 @@
       },
       "execution_count": null,
       "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Docs\n",
+        "Get more info in below links!\n",
+        "- [SAM2 docs](https://huggingface.co/docs/transformers/main/en/model_doc/sam2)\n",
+        "- [KOSMOS2.5 docs](https://huggingface.co/docs/transformers/main/en/model_doc/kosmos2_5)\n",
+        "- [Florence-2 docs](https://huggingface.co/docs/transformers/main/en/model_doc/florence2)\n",
+        "- [DINOv3 docs](https://huggingface.co/docs/transformers/main/en/model_doc/dinov3)\n",
+        "- [MetaCLIP2 docs](https://huggingface.co/docs/transformers/main/en/model_doc/metaclip_2)"
+      ],
+      "metadata": {
+        "id": "N3Yp8BZNd7aM"
+      }
     }
   ]
 }