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             "  Downloading safetensors-0.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m39.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m37.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
             "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.65.0)\n",
             "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (2023.6.0)\n",
             "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (4.7.1)\n",
@@ -3162,12 +4530,12 @@
         "import torch\n",
         "import torch.nn.functional as F\n",
         "\n",
-        "from transformers import AutoTokenizer, AutoModelForSequenceClassification"
+        "from transformers import AutoTokenizer, AutoModelForSequenceClassification, DistilBertForSequenceClassification"
       ],
       "metadata": {
         "id": "1tSbCn9OGiaW"
       },
-      "execution_count": 15,
+      "execution_count": 27,
       "outputs": []
     },
     {
@@ -3189,54 +4557,54 @@
           "base_uri": "https://localhost:8080/",
           "height": 252,
           "referenced_widgets": [
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+            "92f1d9760ad84f8c92feac895dd8cc1e",
+            "ae01fa6c4bdd4c78b8b7a92d9d94f49c"
           ]
         },
         "id": "lMzThAsEaMhH",
-        "outputId": "657e2ba5-1484-4e81-f59d-59580df74b75"
+        "outputId": "3556be6a-91f9-4ccf-cd39-c3e2a5508365"
       },
       "execution_count": 3,
       "outputs": [
@@ -3257,7 +4625,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "26d74678f307423898806b599c0beb11"
+              "model_id": "4f4af0c35b824ec7b4d9adddc4c61e93"
             }
           },
           "metadata": {}
@@ -3271,7 +4639,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "a0853eaffb9545e6814bc44de9e46600"
+              "model_id": "66b579be14104fa5b2c79085d737cc9c"
             }
           },
           "metadata": {}
@@ -3285,7 +4653,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "9753448fcf8e4146bf7e9f7481413c6c"
+              "model_id": "39fd7ffcd6174596a7ad69a97682572e"
             }
           },
           "metadata": {}
@@ -3299,7 +4667,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "0a5f0834a17849a19f3c520ae971edae"
+              "model_id": "232fc7cda0764391b1801b855c00443a"
             }
           },
           "metadata": {}
@@ -3323,7 +4691,7 @@
       "metadata": {
         "id": "yTgLCh9gfe4F"
       },
-      "execution_count": 8,
+      "execution_count": 4,
       "outputs": []
     },
     {
@@ -3336,20 +4704,20 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "4YNoL7MAfp9j",
-        "outputId": "21caa8be-3bb3-432b-abc1-751c9daf9538"
+        "outputId": "d865ed68-5342-49ce-c0eb-c9f0a4d26843"
       },
-      "execution_count": 9,
+      "execution_count": 5,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
               "[{'label': 'POSITIVE', 'score': 0.999786913394928},\n",
-              " {'label': 'POSITIVE', 'score': 0.8319616913795471}]"
+              " {'label': 'POSITIVE', 'score': 0.831964373588562}]"
             ]
           },
           "metadata": {},
-          "execution_count": 9
+          "execution_count": 5
         }
       ]
     },
@@ -3361,7 +4729,7 @@
       "metadata": {
         "id": "ghHbrhFngQ_Q"
       },
-      "execution_count": 17,
+      "execution_count": 6,
       "outputs": []
     },
     {
@@ -3372,7 +4740,7 @@
       "metadata": {
         "id": "W0aXQDXIgps1"
       },
-      "execution_count": 18,
+      "execution_count": 7,
       "outputs": []
     },
     {
@@ -3383,7 +4751,7 @@
       "metadata": {
         "id": "DUFpQZ1kgxEq"
       },
-      "execution_count": 19,
+      "execution_count": 8,
       "outputs": []
     },
     {
@@ -3396,20 +4764,20 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "RtI7gmg9gywn",
-        "outputId": "f9f2bf5c-c0e1-4969-fc42-d701d36f7201"
+        "outputId": "a1b91f49-5cee-4d02-f414-53721dc398c9"
       },
-      "execution_count": 20,
+      "execution_count": 9,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
               "[{'label': 'POSITIVE', 'score': 0.999786913394928},\n",
-              " {'label': 'POSITIVE', 'score': 0.8319616913795471}]"
+              " {'label': 'POSITIVE', 'score': 0.831964373588562}]"
             ]
           },
           "metadata": {},
-          "execution_count": 20
+          "execution_count": 9
         }
       ]
     },
@@ -3422,7 +4790,7 @@
       "metadata": {
         "id": "mHjsvYpFhLDU"
       },
-      "execution_count": 16,
+      "execution_count": 10,
       "outputs": []
     },
     {
@@ -3433,7 +4801,7 @@
       "metadata": {
         "id": "Pqq3TVxjhbF4"
       },
-      "execution_count": 21,
+      "execution_count": 11,
       "outputs": []
     },
     {
@@ -3446,7 +4814,7 @@
       "metadata": {
         "id": "LXmfFQcOs0l-"
       },
-      "execution_count": 22,
+      "execution_count": 12,
       "outputs": []
     },
     {
@@ -3461,9 +4829,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "4rCCAQj5tZkw",
-        "outputId": "aeeabc86-ba0d-4a55-8d81-92e359d3bcf3"
+        "outputId": "568bc044-bfa9-4874-9c05-6010647f257e"
       },
-      "execution_count": 23,
+      "execution_count": 13,
       "outputs": [
         {
           "output_type": "stream",
@@ -3484,7 +4852,7 @@
       "metadata": {
         "id": "WJehV4xI0t4S"
       },
-      "execution_count": 31,
+      "execution_count": 14,
       "outputs": []
     },
     {
@@ -3495,7 +4863,7 @@
       "metadata": {
         "id": "muHmvyYB02Mh"
       },
-      "execution_count": 32,
+      "execution_count": 15,
       "outputs": []
     },
     {
@@ -3508,9 +4876,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "DYh78ZAI1DqK",
-        "outputId": "c777988f-0510-4aa1-8fd4-e88024067e2f"
+        "outputId": "687d3a08-262b-40ad-c180-d3667417b2da"
       },
-      "execution_count": 33,
+      "execution_count": 16,
       "outputs": [
         {
           "output_type": "stream",
@@ -3543,9 +4911,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Pgb9tGrUD5yk",
-        "outputId": "a8bd08ab-a9d9-4caf-fb7e-a4be4cc0bd75"
+        "outputId": "8d908d5b-355c-4a10-904b-a214dd4b25a4"
       },
-      "execution_count": 36,
+      "execution_count": 17,
       "outputs": [
         {
           "output_type": "stream",
@@ -3573,7 +4941,7 @@
       "metadata": {
         "id": "xCtSq3FrOPgV"
       },
-      "execution_count": 37,
+      "execution_count": 18,
       "outputs": []
     },
     {
@@ -3584,7 +4952,7 @@
       "metadata": {
         "id": "x1jY2hxQSXUK"
       },
-      "execution_count": 38,
+      "execution_count": 19,
       "outputs": []
     },
     {
@@ -3604,7 +4972,7 @@
       "metadata": {
         "id": "-SgnNrflVrbM"
       },
-      "execution_count": 43,
+      "execution_count": 20,
       "outputs": []
     },
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+            "ed7afb6263e14fa5a0910a10a01a4636",
+            "fa55f7f592414113a7f4aeac18407b3c",
+            "bacb2b861f07447ca376eb3cdb14cb29",
+            "de73db2ba169478e8a7bf284ba2f5827",
+            "79c702815995416f87252afbd911f26d",
+            "27ef2e301f70419481fb43a6449bff3d",
+            "e69d1af0e5084c3b82879637d7e7d310",
+            "17f05cd3a5e349be9f20ae8ef3d65244",
+            "92141a7e0f514ab7a85eda377f5a0c0e",
+            "9ae86744b17d47788559ddeccd02c8d6",
+            "bbdfdfed0d0446fda20854c2b970abc7",
+            "8d250fb427624a72bb51b4d98e131a62",
+            "ffb4c5032bca4ef791d589742aede329",
+            "e93b86f00b294ff98fa4e0b4179f4e13",
+            "ac45589ed2f849f592d89285d0c002fe"
           ]
         },
         "id": "i6AN-kcBVzYP",
-        "outputId": "1aaab657-c8b8-4b00-ffa1-8f953c592bd2"
+        "outputId": "b1d6048f-6e1c-426b-818c-3982b5bc1ff2"
       },
-      "execution_count": 44,
+      "execution_count": 21,
       "outputs": [
         {
           "output_type": "display_data",
@@ -3689,7 +5057,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "a8f8e764425d438fa2c72bad225c2ad2"
+              "model_id": "140f4005fa974ea1918ad8e616fb85c7"
             }
           },
           "metadata": {}
@@ -3703,7 +5071,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "8efc860b60bd41dd9f146e022f9fc730"
+              "model_id": "9ba925731ebe43d59fae62edba270151"
             }
           },
           "metadata": {}
@@ -3717,7 +5085,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "43bc1e958e434cd3aca3d083732e8c03"
+              "model_id": "3d82f17777a84fc99fe483003ac9351b"
             }
           },
           "metadata": {}
@@ -3731,7 +5099,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "4d6fafb45b384d75a29ff9252a4d45cf"
+              "model_id": "4e722421f56c40d68386f9e4f1558f99"
             }
           },
           "metadata": {}
@@ -3745,7 +5113,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "9126751fa0b6493e94fed25c45fc96ca"
+              "model_id": "79c702815995416f87252afbd911f26d"
             }
           },
           "metadata": {}
@@ -3760,7 +5128,7 @@
       "metadata": {
         "id": "lcp5Z9loYhLW"
       },
-      "execution_count": 54,
+      "execution_count": 22,
       "outputs": []
     },
     {
@@ -3774,9 +5142,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "IuJ4sRmlZrER",
-        "outputId": "580d50cc-391c-430c-a4b5-0a4c6e8e6460"
+        "outputId": "39438576-8125-41fd-b0f6-1b3800125df8"
       },
-      "execution_count": 55,
+      "execution_count": 23,
       "outputs": [
         {
           "output_type": "stream",
@@ -3805,29 +5173,10 @@
         "#print(batch)"
       ],
       "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "5TO9LbG0eGfN",
-        "outputId": "5d3091a5-26fa-48b8-a738-d01faa777319"
+        "id": "5TO9LbG0eGfN"
       },
-      "execution_count": 52,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "tensor([[  101,  9535,  2368, 14863,  4859,   102,     0,     0,     0,     0,\n",
-            "             0,     0],\n",
-            "        [  101, 15536,  2063,  2002,  2072, 19310,  2102,  4241,  1029,   102,\n",
-            "             0,     0],\n",
-            "        [  101, 15536, 14728, 25032,  9890,  2078,  9033,  2063,  2978,  2618,\n",
-            "          1012,   102],\n",
-            "        [  101, 26679,  2638,  2061, 20800,  1012,   102,     0,     0,     0,\n",
-            "             0,     0]])\n"
-          ]
-        }
-      ]
+      "execution_count": 24,
+      "outputs": []
     },
     {
       "cell_type": "code",
@@ -3847,9 +5196,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "15yNJSdhZGIY",
-        "outputId": "5ba856d3-fe1e-4644-dd38-1dc4651de995"
+        "outputId": "5f67cdf0-7247-465e-dbc6-f59fa65e6e82"
       },
-      "execution_count": 57,
+      "execution_count": 25,
       "outputs": [
         {
           "output_type": "stream",
@@ -3859,7 +5208,7 @@
             "        [ 4.3940, -3.5347]]), hidden_states=None, attentions=None)\n",
             "tensor([[2.0787e-02, 1.2513e-01, 8.5408e-01],\n",
             "        [2.4477e-02, 8.2572e-01, 1.4981e-01],\n",
-            "        [5.3153e-05, 1.4655e-04, 9.9980e-01],\n",
+            "        [5.3152e-05, 1.4655e-04, 9.9980e-01],\n",
             "        [2.0299e-05, 6.2296e-05, 9.9992e-01]])\n",
             "tensor([2, 1, 2, 2])\n",
             "['neutral', 'negative', 'neutral', 'neutral']\n"
@@ -3867,6 +5216,184 @@
         }
       ]
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Testing my own tuned model shared to Hugging Face"
+      ],
+      "metadata": {
+        "id": "gm8TV1aG_sP0"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "model_name2 = \"ayethuzar/tuned-for-patentability\""
+      ],
+      "metadata": {
+        "id": "bNMOu_DC-YtZ"
+      },
+      "execution_count": 26,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "model_at = DistilBertForSequenceClassification.from_pretrained(model_name2, num_labels=2)\n",
+        "tokenizer_at = AutoTokenizer.from_pretrained(model_name2)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 145,
+          "referenced_widgets": [
+            "060bd86f158b480a8a75c90565158365",
+            "438c95f4846e43a1ad57206bcd978e50",
+            "b50e00b922e446dda8c316cc43345a6d",
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+            "72ce88645cf7412e82f2867f0f54d224",
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+            "f5631a3058d14c7e9247412a10702bb0",
+            "adff672bfc0d4cd1b80901c5143d9ad8",
+            "ae53036f8cd340caaf00d850f1106d76",
+            "84797cdc5c014a78aceac674565c66a8",
+            "794d912cd743442894f0148f45d2f1f2",
+            "38da42d0b3fa4151a9d0f51ad2b2bcc9",
+            "e24cc66815474082a1f86272eb4e9ce9",
+            "e95a039f29e64bf0b464ad956c24db62",
+            "7e0626d1f072403f8a1578f48e4ccb72",
+            "87a67bb470964aefbc20de79e0dedde1",
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+            "aba2cbb80884460781a67c8a1ff1be4f",
+            "a009588cff1645ff91a3b576719dce94",
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+            "35ccfa30c05b48638b6adda621e0ba0f",
+            "719dfcec60ae4ca89cc49c4f89c792ed",
+            "a04f633a6b3f43179b7588b315ff212c",
+            "081c610077a548588146af97449be037",
+            "4400270d479941d9ae8bcccb160495f7",
+            "114f1c3782204c25af8e8ce8ab7c2955",
+            "248f03b024d2435fa5cd48e83670d6b4",
+            "d3df346a5d1844478851ab2721cd4dac",
+            "69548fa17ad641ef96675e66a78a31ce",
+            "6dac296e22ce44a0b01677adf1ed94ad",
+            "1646c0c921bd47e590eeb1bbc7b2fbbc",
+            "099e9269ab564cd3bc6853e692dcf5bd",
+            "5965b7c949ae4dda8298f0f1e0a9e008",
+            "d63a4a51e22f475d81a2a52611540007",
+            "08bb0a8a93be4babb6c578a69319a340",
+            "8656fe3964da4ad8a03d4e939d889521",
+            "045fa3556a6d47eea21f27344d58da0d",
+            "eefeed3069e64e30983b28af9b0836a4",
+            "0fe5597632db45a982a491b358da1f24",
+            "13550c0af2ec40728f5844fe8cd26b64",
+            "89d8f1b3998b4a379a6e2f1ac61296a1",
+            "55831bac1728432487029d9993a47608"
+          ]
+        },
+        "id": "ZTvxbnNH-dsD",
+        "outputId": "d1677636-32be-4e6f-f188-3439d1c950f3"
+      },
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)okenizer_config.json:   0%|          | 0.00/320 [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "060bd86f158b480a8a75c90565158365"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)solve/main/vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "38da42d0b3fa4151a9d0f51ad2b2bcc9"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/711k [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "35ccfa30c05b48638b6adda621e0ba0f"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/125 [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "099e9269ab564cd3bc6853e692dcf5bd"
+            }
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "with torch.no_grad():\n",
+        "  outputs_at = model_at(**batch)\n",
+        "  print(outputs_at)\n",
+        "  predictions_at = F.softmax(outputs_at.logits, dim = 1)\n",
+        "  print(predictions_at)\n",
+        "  labels_at = torch.argmax(predictions_at, dim = 1)\n",
+        "  print(labels_at)\n",
+        ""
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Sv8kOh2O_rOQ",
+        "outputId": "4391ea88-7350-41af-a99e-d1c8efe78709"
+      },
+      "execution_count": 30,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "SequenceClassifierOutput(loss=None, logits=tensor([[-1.5925,  1.0365],\n",
+            "        [-1.5714,  1.0243],\n",
+            "        [-1.5936,  1.0340],\n",
+            "        [-1.5936,  1.0302]]), hidden_states=None, attentions=None)\n",
+            "tensor([[0.0673, 0.9327],\n",
+            "        [0.0694, 0.9306],\n",
+            "        [0.0674, 0.9326],\n",
+            "        [0.0676, 0.9324]])\n",
+            "tensor([1, 1, 1, 1])\n"
+          ]
+        }
+      ]
+    },
     {
       "cell_type": "markdown",
       "source": [