whisper-yt-search-init-encoder.ipynb

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       "SentenceTransformer(\n",
       "  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: MPNetModel \n",
       "  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})\n",
       ")"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sentence_transformers import SentenceTransformer\n",
    "\n",
    "model_id = \"multi-qa-mpnet-base-dot-v1\"\n",
    "\n",
    "model = SentenceTransformer(model_id)\n",
    "model"
   ]
  }
 ],
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