{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading config.json: 100%|██████████| 827/827 [00:00<00:00, 276kB/s]\n",
      "Downloading model.safetensors:  23%|██▎       | 231M/990M [01:04<03:30, 3.61MB/s] "
     ]
    }
   ],
   "source": [
    "pipe = pipeline(\"text2text-generation\", model=\"samanjoy2/bnpunct_banglat5_seq2seq_finetuned\", device='cpu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'বুঝলাম নাহ। তুমার সম্যা কি?'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "texts = \"বুঝলাম নাহ তুমার সম্যা কি\"\n",
    "ipas = pipe(texts, max_length=512, batch_size=1)[0]['generated_text']\n",
    "ipas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "gputorch_1",
   "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": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}