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mytest.ipynb
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mytest.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/shogo.fujita/.pyenv/versions/3.9.16/envs/transformers/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n",
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"Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The full name of Donald is Donald J. Trump Jr., the president's son-in-law\n",
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"The full name of Donald is Donald J. Trump Jr., the president of Donald J. Trump's\n",
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"The full name of Donald is Donald J. Trump Jr., the president of Donald J. Trump.\n",
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"The full name of Donald is Donald J. Trump Jr., the president of Donald J. Trump Organization\n",
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"The full name of Donald is Donald J. Trump Jr., the president of the Trump Organization, a\n"
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]
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}
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],
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"source": [
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"from transformers import AutoTokenizer, AutoModelForCausalLM\n",
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"\n",
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"model = AutoModelForCausalLM.from_pretrained(\"gpt2\")\n",
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"tokenizer = AutoTokenizer.from_pretrained(\"gpt2\")\n",
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"inputs = tokenizer([\"The full name of Donald is Donald\"], return_tensors=\"pt\")\n",
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"\n",
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"outputs = model.generate(**inputs, num_beams=5, num_return_sequences=5,do_sample=True)\n",
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"print(\"\\n\".join(tokenizer.batch_decode(outputs, skip_special_tokens=True)))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The full name of Donald is Donald J. Trump Jr. He is the father of Donald J.\n",
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"The full name of Donald is Donald J. Trump Jr., and his father is Donald J. Trump\n",
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"The full name of Donald is Donald J. Trump Jr. He is the father of Donald Trump,\n",
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"The full name of Donald is Donald J. Trump Jr., the father of Donald J. Trump.\n",
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"The full name of Donald is Donald J. Trump Jr., the father of Donald J. Trump.\n"
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]
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}
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],
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"source": [
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"from transformers import AutoTokenizer, AutoModelForCausalLM\n",
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"\n",
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"model = AutoModelForCausalLM.from_pretrained(\"gpt2\")\n",
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"tokenizer = AutoTokenizer.from_pretrained(\"gpt2\")\n",
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"inputs = tokenizer([\"The full name of Donald is Donald\"], return_tensors=\"pt\")\n",
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"\n",
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"outputs = model.generate(**inputs, num_beams=5, num_return_sequences=5,do_sample=True)\n",
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"print(\"\\n\".join(tokenizer.batch_decode(outputs, skip_special_tokens=True)))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "transformers",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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