notebooks/model_view_distilbert.ipynb

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   "source": [
    "from transformers import AutoTokenizer, AutoModel, utils\n",
    "from bertviz import model_view\n",
    "\n",
    "utils.logging.set_verbosity_error()  # Suppress standard warnings"
   ]
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   "cell_type": "code",
   "execution_count": null,
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    "tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")\n",
    "model = AutoModel.from_pretrained(\"distilbert-base-uncased\", output_attentions=True)\n",
    "inputs = tokenizer.encode(\"The cat sat on the mat\", return_tensors='pt')\n",
    "outputs = model(inputs)\n",
    "attention = outputs[-1]  # Output includes attention weights when output_attentions=True\n",
    "tokens = tokenizer.convert_ids_to_tokens(inputs[0]) \n",
    "model_view(attention, tokens)"
   ]
  }
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