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@@ -4,7 +4,7 @@
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"metadata": {
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"colab": {
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"provenance": [],
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"authorship_tag": "ABX9TyPLuYbU3a6Uvb/3X1shd1XV",
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"authorship_tag": "ABX9TyMfWL40+ZshPZhweAtQ9Fn6",
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"include_colab_link": true
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},
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"kernelspec": {
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@@ -133,7 +133,7 @@
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" outputs = model(input_ids = input_tokens['input_ids'], attention_mask = input_tokens['attention_mask'])\n",
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" # Find prediction\n",
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" prob_over_tokens = F.softmax(outputs.logits, dim=-1).detach().numpy()[0,-1]\n",
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" # Draw a random token according to the probabilities\n",
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" # TODO: Draw a random token according to the probabilities\n",
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" # Use: https://numpy.org/doc/stable/reference/random/generated/numpy.random.choice.html\n",
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" # Replace this line\n",
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" next_token = [5000]\n",
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