Login to weights and biases anonymously in colab
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@ -46,10 +46,7 @@
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"! git lfs install\n",
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"! git lfs install\n",
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"! git clone https://huggingface.co/dalle-mini/vqgan_imagenet_f16_16384 ./pretrained/vqgan\n",
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"! git clone https://huggingface.co/dalle-mini/vqgan_imagenet_f16_16384 ./pretrained/vqgan\n",
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"! pip install torch flax wandb\n",
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"! pip install torch flax wandb\n",
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"\n",
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"! wandb login --anonymously\n",
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"import wandb\n",
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"\n",
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"wandb.login()\n",
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"! wandb artifact get --root=./pretrained/dalle_bart_mini dalle-mini/dalle-mini/mini-1:v0"
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"! wandb artifact get --root=./pretrained/dalle_bart_mini dalle-mini/dalle-mini/mini-1:v0"
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]
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]
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},
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},
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@ -64,7 +61,7 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"metadata": {
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"metadata": {
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"colab": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"base_uri": "https://localhost:8080/",
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@ -116,7 +113,7 @@
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"name": "min-dalle",
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"name": "min-dalle",
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"provenance": [],
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"provenance": [],
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"collapsed_sections": [],
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"collapsed_sections": [],
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"authorship_tag": "ABX9TyOe0aqj9Uvkjg1hg31sMmQk",
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"authorship_tag": "ABX9TyNySjkE9SnVoxhE0z5TopRb",
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"include_colab_link": true
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"include_colab_link": true
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},
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},
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"gpuClass": "standard",
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"gpuClass": "standard",
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