Upload samplesqlenuse.ipynb
Browse files- samplesqlenuse.ipynb +114 -0
samplesqlenuse.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": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Use a pipeline as a high-level helper\n",
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"from transformers import pipeline"
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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": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"prompt = [\n",
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" {\"role\": \"user\", \"content\": \"\"\" \"SELECT CITYalias0.CITY_NAME FROM CITY AS CITYalias0 WHERE CITYalias0.POPULATION = ( SELECT MAX( CITYalias1.POPULATION ) FROM CITY AS CITYalias1 WHERE CITYalias1.STATE_NAME = \\\"state_name0\\\" ) AND CITYalias0.STATE_NAME = \\\"state_name0\\\" ;\"\"\"},\n",
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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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"execution_count": 11,
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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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"c:\\Users\\eclal\\OneDrive\\Desktop\\VSCode\\.conda\\Lib\\site-packages\\transformers\\models\\mistral\\modeling_mistral.py:674: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\\aten\\src\\ATen\\native\\transformers\\cuda\\sdp_utils.cpp:455.)\n",
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" attn_output = torch.nn.functional.scaled_dot_product_attention(\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"[{'generated_text': [{'role': 'user',\n",
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" 'content': ' \"SELECT CITYalias0.CITY_NAME FROM CITY AS CITYalias0 WHERE CITYalias0.POPULATION = ( SELECT MAX( CITYalias1.POPULATION ) FROM CITY AS CITYalias1 WHERE CITYalias1.STATE_NAME = \"state_name0\" ) AND CITYalias0.STATE_NAME = \"state_name0\" ;'},\n",
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" {'role': 'assistant',\n",
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" 'content': 'return me the city with the highest population in \" state_name0 \".\"'}]}]"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"generate_text = pipeline(\n",
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" model=\"eclfe/sqlen-1-21\",\n",
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" torch_dtype=\"auto\",\n",
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" trust_remote_code=True,\n",
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" device_map={\"\": \"cuda:0\"},\n",
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" token=True,\n",
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")\n",
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"generate_text(prompt, renormalize_logits=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": 12,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'generated_text': [{'role': 'user',\n",
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" 'content': ' \"SELECT CITYalias0.CITY_NAME FROM CITY AS CITYalias0 WHERE CITYalias0.POPULATION = ( SELECT MAX( CITYalias1.POPULATION ) FROM CITY AS CITYalias1 WHERE CITYalias1.STATE_NAME = \"state_name0\" ) AND CITYalias0.STATE_NAME = \"state_name0\" ;'},\n",
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" {'role': 'assistant',\n",
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" 'content': 'return me the city with the highest population in \" state_name0 \".\"'}]}]"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"\n",
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"\n",
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"prompt = [\n",
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" {\"role\": \"user\", \"content\": \"\"\" \"SELECT CITYalias0.CITY_NAME FROM CITY AS CITYalias0 WHERE CITYalias0.POPULATION = ( SELECT MAX( CITYalias1.POPULATION ) FROM CITY AS CITYalias1 WHERE CITYalias1.STATE_NAME = \\\"state_name0\\\" ) AND CITYalias0.STATE_NAME = \\\"state_name0\\\" ;\"\"\"},\n",
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"]\n",
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"pipe = pipeline(\"text-generation\", model=\"eclfe/sqlen-1-21\")\n",
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"pipe(prompt)"
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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": "Python 3",
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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": "3.12.4"
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}
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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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