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3totem animal tribal chaman vodoo mask feather ...{\"image_uri\": \"PENDING\", \"modifiers\": [\"totem ...
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\n", - " " - ] - }, - "metadata": {}, - "execution_count": 6 - } - ] - }, - { - "cell_type": "code", - "source": [ - "clean_prompt.to_csv(\"cleaned_prompts.csv\", columns=[\"prompt\"], header=False, index=False )" - ], - "metadata": { - "id": "AxSg5Q2njePL" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "!pip3 install -q aitextgen==0.5.1" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "gpYGisgzjvQs", - "outputId": "fca3181f-6abd-419d-f82c-319c32128e2e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\u001b[K |████████████████████████████████| 571 kB 38.5 MB/s \n", - "\u001b[K |████████████████████████████████| 5.5 MB 56.6 MB/s \n", - "\u001b[K |████████████████████████████████| 87 kB 7.3 MB/s \n", - "\u001b[K |████████████████████████████████| 798 kB 55.8 MB/s \n", - "\u001b[K |████████████████████████████████| 529 kB 66.7 MB/s \n", - "\u001b[K |████████████████████████████████| 163 kB 74.5 MB/s \n", - "\u001b[K |████████████████████████████████| 7.6 MB 59.7 MB/s \n", - "\u001b[?25h Building wheel for aitextgen (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "from aitextgen import aitextgen\n", - "from aitextgen.TokenDataset import TokenDataset" - ], - "metadata": { - "id": "QOMK0U6nj3IV" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "data = TokenDataset('/content/cleaned_prompts.csv', line_by_line=True)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 66, - "referenced_widgets": [ - "c2478eef4223483f99587762293baa8d", - "3db63f3dfda6453d805fe557323966a3", - "aa783f10a9544c789ca254f5e4400269", - "86609a1de76445559859a60c68d2106f", - "c84d320e3f254865ba048ca77fe1d91b", - "12660f15938744bf97ae568913602699", - "40906845e14c47658bcc8c55365deda2", - "ae59aa03440145de80bccb10980b1474", - "ffb1196ee84d4da78fce63dca90b838a", - "91485b735e924fe2921fdf4c4d4523c2", - "eed40bc8a4c342b1b5636147fa077420" - ] - }, - "id": "KrK4rHS4j6bl", - "outputId": "fe631d14-8d60-4a22-e606-c0b5ae0ab77b" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/893 [00:00\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m ai.train(data\n\u001b[0m\u001b[1;32m 2\u001b[0m )\n", - "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/aitextgen/aitextgen.py\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(self, train_data, output_dir, fp16, fp16_opt_level, n_gpu, tpu_cores, max_grad_norm, gradient_accumulation_steps, seed, learning_rate, weight_decay, adam_epsilon, warmup_steps, num_steps, save_every, generate_every, n_generate, loggers, batch_size, num_workers, benchmark, avg_loss_smoothing, save_gdrive, run_id, progress_bar_refresh_rate, freeze_layers, num_layers_freeze, use_deepspeed, **kwargs)\u001b[0m\n\u001b[1;32m 673\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 674\u001b[0m \u001b[0;31m# Wrap the model in a pytorch-lightning module\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 675\u001b[0;31m \u001b[0mtrain_model\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mATGTransformer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhparams\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtokenizer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 676\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 677\u001b[0m \u001b[0;31m# Begin training\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/aitextgen/train.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, model, dataset, hparams, tokenizer)\u001b[0m\n\u001b[1;32m 23\u001b[0m \u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 24\u001b[0m \u001b[0mhparams\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 25\u001b[0;31m \u001b[0mtokenizer\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 26\u001b[0m )\n\u001b[1;32m 27\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m__setattr__\u001b[0;34m(self, name, value)\u001b[0m\n\u001b[1;32m 1253\u001b[0m \u001b[0mbuffers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1254\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1255\u001b[0;31m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1256\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1257\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__delattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAttributeError\u001b[0m: can't set attribute" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "ai.save()" - ], - "metadata": { - "id": "b5peJOHIo6uK" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "prompt_ai = aitextgen(model_folder = '.', to_gpu=True)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 304 - }, - "id": "0Zenb5Cio9PC", - "outputId": "edf56628-cd45-47ea-bc92-0d31b758fb16" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "error", - "ename": "AssertionError", - "evalue": "ignored", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprompt_ai\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maitextgen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_folder\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'.'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mto_gpu\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/aitextgen/aitextgen.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, model, model_folder, config, vocab_file, merges_file, tokenizer_file, schema_tokens, schema_return, cache_dir, tf_gpt2, to_gpu, to_fp16, verbose, gradient_checkpointing, bos_token, eos_token, unk_token, **kwargs)\u001b[0m\n\u001b[1;32m 170\u001b[0m assert os.path.exists(\n\u001b[1;32m 171\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_folder\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"pytorch_model.bin\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 172\u001b[0;31m ), f\"There is no pytorch_model.bin in /{model_folder}.\"\n\u001b[0m\u001b[1;32m 173\u001b[0m assert os.path.exists(\n\u001b[1;32m 174\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_folder\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"config.json\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAssertionError\u001b[0m: There is no pytorch_model.bin in /.." - ] - } - ] - }, - { - "cell_type": "code", - "source": [], - "metadata": { - "id": "vzJIoP9VpA47" - }, - "execution_count": null, - "outputs": [] - } - ] -} \ No newline at end of file