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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "YjdZ0vD5HQVO",
+ "outputId": "9dade281-5620-42e7-dd21-cccfa2739008"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
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+ " Downloading transformers-4.33.1-py3-none-any.whl (7.6 MB)\n",
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+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n",
+ "Installing collected packages: tokenizers, safetensors, xxhash, dill, responses, multiprocess, huggingface-hub, transformers, datasets, evaluate\n",
+ "Successfully installed datasets-2.14.5 dill-0.3.7 evaluate-0.4.0 huggingface-hub-0.17.1 multiprocess-0.70.15 responses-0.18.0 safetensors-0.3.3 tokenizers-0.13.3 transformers-4.33.1 xxhash-3.3.0\n"
+ ]
+ }
+ ],
+ "source": [
+ "pip install transformers datasets evaluate"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
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+ ]
+ },
+ "id": "84mMJtzcHk3L",
+ "outputId": "04147507-ca4d-4fcb-f987-6abe1ad9dfc4"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "VBox(children=(HTML(value='
main\n",
+ "\n",
+ "WARNING:huggingface_hub.repository:To https://huggingface.co/NabeelShar/emotions_classifier\n",
+ " 4d6e4c5..ab951e7 main -> main\n",
+ "\n"
+ ]
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "execution_count": 26
+ }
+ ],
+ "source": [
+ "model.fit(tf_train_dataset, validation_data=tf_eval_dataset, epochs=num_epochs, callbacks=callbacks)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "29ZPkramjcir"
+ },
+ "source": [
+ "Prediction"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "C_9-dH4cVuEB"
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "JUFTj8TYiBwS",
+ "outputId": "c22db2f0-0443-4aa9-9346-739967bb43b8"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:datasets.builder:Found cached dataset imagefolder (/root/.cache/huggingface/datasets/FastJobs___imagefolder/FastJobs--Visual_Emotional_Analysis-bbb0f5e70847fc91/0.0.0/37fbb85cc714a338bea574ac6c7d0b5be5aff46c1862c1989b20e0771199e93f)\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "Dataset({\n",
+ " features: ['image', 'label'],\n",
+ " num_rows: 10\n",
+ "})"
+ ]
+ },
+ "execution_count": 61,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ds = load_dataset(\"FastJobs/Visual_Emotional_Analysis\", split=\"train[:10]\")\n",
+ "ds"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "WBXiMJ48qBKl"
+ },
+ "outputs": [],
+ "source": [
+ "image = ds[\"image\"][0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 232,
+ "referenced_widgets": [
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+ "53ff5a46800543d7a2e6ed532e0085eb",
+ "8a3110bdb7844528a867a3f2d0daf028",
+ "dbceb3e2a8b144bd8a899e7778b9fb67",
+ "dc6982a803d34c2b9366323f44cf0ef7",
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+ "d0432428e4524f318bff7ccf2f91c6b4",
+ "25a5031e71144bf4bec62694c16f39e2"
+ ]
+ },
+ "id": "QkaFEJg2Ujxl",
+ "outputId": "5ed6475b-9d54-48b8-b175-a16e39341a1d"
+ },
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "75599d75d500474db4e9ca8801af0ac6",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Downloading tf_model.h5: 0%| | 0.00/344M [00:00, ?B/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "All model checkpoint layers were used when initializing TFViTForImageClassification.\n",
+ "\n",
+ "All the layers of TFViTForImageClassification were initialized from the model checkpoint at CynthiaCR/emotions_classifier.\n",
+ "If your task is similar to the task the model of the checkpoint was trained on, you can already use TFViTForImageClassification for predictions without further training.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "[{'score': 0.32123512029647827, 'label': 'fear'},\n",
+ " {'score': 0.31210750341415405, 'label': 'sad'},\n",
+ " {'score': 0.1644315868616104, 'label': 'anger'},\n",
+ " {'score': 0.10217338800430298, 'label': 'disgust'},\n",
+ " {'score': 0.04358164221048355, 'label': 'contempt'}]"
+ ]
+ },
+ "execution_count": 63,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from transformers import pipeline\n",
+ "\n",
+ "classifier = pipeline(\"image-classification\", model=\"CynthiaCR/emotions_classifier\")\n",
+ "classifier(image)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "0vbEKCwX0ybE"
+ },
+ "outputs": [],
+ "source": [
+ "from transformers import AutoImageProcessor\n",
+ "\n",
+ "image_processor = AutoImageProcessor.from_pretrained(\"CynthiaCR/emotions_classifier\")\n",
+ "inputs = image_processor(image, return_tensors=\"tf\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "sqhjJ_9jkdgl"
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "iCMCASWf0yew",
+ "outputId": "6f38799c-8478-4b6f-fba3-0beaa95ed8f5"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "All model checkpoint layers were used when initializing TFViTForImageClassification.\n",
+ "\n",
+ "All the layers of TFViTForImageClassification were initialized from the model checkpoint at CynthiaCR/emotions_classifier.\n",
+ "If your task is similar to the task the model of the checkpoint was trained on, you can already use TFViTForImageClassification for predictions without further training.\n"
+ ]
+ }
+ ],
+ "source": [
+ "from transformers import TFAutoModelForImageClassification\n",
+ "\n",
+ "model = TFAutoModelForImageClassification.from_pretrained(\"CynthiaCR/emotions_classifier\")\n",
+ "logits = model(**inputs).logits"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "7iSRY48Gkdti"
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 36
+ },
+ "id": "pJUFDX_e0yh9",
+ "outputId": "c09c9df5-41d8-418e-a44c-0cab27fe28e1"
+ },
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.google.colaboratory.intrinsic+json": {
+ "type": "string"
+ },
+ "text/plain": [
+ "'fear'"
+ ]
+ },
+ "execution_count": 66,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "predicted_class_id = int(tf.math.argmax(logits, axis=-1)[0])\n",
+ "model.config.id2label[predicted_class_id]"
+ ]
+ }
+ ],
+ "metadata": {
+ "accelerator": "GPU",
+ "colab": {
+ "machine_shape": "hm",
+ "provenance": []
+ },
+ "gpuClass": "standard",
+ "kernelspec": {
+ "display_name": "Python 3",
+ "name": "python3"
+ },
+ "language_info": {
+ "name": "python"
+ },
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