infer_example.ipynb

{
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   "cell_type": "code",
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   "id": "e83aa6ac",
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at google/bert_uncased_L-12_H-768_A-12 were not used when initializing BertModel: ['cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.decoder.bias', 'cls.predictions.transform.dense.bias', 'cls.seq_relationship.weight', 'cls.predictions.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.bias', 'cls.predictions.decoder.weight']\n",
      "- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    }
   ],
   "source": [
    "from transformer_punct_and_capit.models import TransformerPunctAndCapitModel\n",
    "\n",
    "model_path=\"experiments/model.pcm\"\n",
    "model = TransformerPunctAndCapitModel.restore_model(model_path, device='cuda')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "12280c4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['How are you?']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict(\"how are you\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d1910fd7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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