File size: 3,980 Bytes
0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d 65b4e99 0fd1f3d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 |
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Install Dependencies"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"zsh:1: command not found: pip\n"
]
}
],
"source": [
"!pip install -U --user transformers torch torchvision"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import Dependencies"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from transformers import AutoTokenizer, AutoModelForCausalLM\n",
"import os"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Load from Local"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/Users/deanmartin/Source/gpt-neo-1.3B-fiction-novel-generation'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"root_dir = '/'.join(os.getcwd().split('/')[:-1])\n",
"\n",
"root_dir"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Tokenizer"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"tokenizer = AutoTokenizer.from_pretrained(root_dir)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Model"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"model = AutoModelForCausalLM.from_pretrained(root_dir)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Inference Example"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Model Usage"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n",
"Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"My name is John Doe, and I'm part of the New York State Attorney General's office.\n",
"\n",
"I'm not your \"typical\" defendant. I have no jury, no judge, no jury pool, no prosecutor-counsel, no courtroom.\n",
"\n",
"I don't even have my own cell phone with my inmate phone number. I live in the Bronx, Queens, Manhattan and New Jersey.\n",
"\n",
"And, I can't sleep because there's been a bomb threat,\n"
]
}
],
"source": [
"prompt = 'My name is John Doe'\n",
"input_ids = tokenizer(prompt, return_tensors='pt').input_ids\n",
"generated_tokens = model.generate(\n",
" input_ids,\n",
" do_sample=True,\n",
" temperature=0.9,\n",
" max_length=100\n",
")\n",
"generated_text = tokenizer.batch_decode(generated_tokens)[0]\n",
"\n",
"print(generated_text)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.9.13 ('pytorch')",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "0203f9377e450cf3e5fd498dcfe93bad69687b6515d650e7d79a42aa53323e2d"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|