text: bart_large_mnli = {
      "description": "Large version of Facebook AI's BART, finetuned on the Multi-Genre Natural Language Inference dataset for zero-shot text classification.",
      "tasks": ["text-classification"],
      "init_kwargs": {
          "model_path": "facebook/bart-large-mnli"
      },
      "details": {
          "num_parameters": 407344131,
          "max_text_length": 1024,
          "text-classification": {
              "languages": ["eng"],
              "zero_shot": True,
              "score": {
                  "value": 4,
                  "description": "Matched accuracy of 89.9% and mismatched accuracy of 90.01% on the MNLI test set."
              }
          },
          "credits": [
              {
                  "name": "Facebook AI",
                  "url": "https://arxiv.org/abs/1910.13461"
              },
              {
                  "name": "Hugging Face",
                  "url": "https://huggingface.co/transformers/model_doc/bart.html"
              }
          ]
      }
  }
  
  
  deberta_base_mnli = {
      "description": "Base version of Microsoft's DeBERTa, finetuned on the Multi-Genre Natural Language Inference dataset for zero-shot text classification.",
      "tasks": ["text-classification"],
      "init_kwargs": {
          "model_path": "microsoft/deberta-base-mnli"
      },
      "details": {
          "num_parameters": 139194627,
          "max_text_length": 512,
          "text-classification": {
              "languages": ["eng"],
              "zero_shot": True,
              "score": {
                  "value": 4,
                  "description": "Matched accuracy of 88.8% on the MNLI test set."
              }
          },
          "credits": [
              {
                  "name": "Microsoft",
                  "url": "https://arxiv.org/abs/2006.03654"
              },
              {
                  "name": "Hugging Face",
                  "url": "https://huggingface.co/transformers/model_doc/deberta.html"
              }
          ]
      }
  }
  
  xlmr_large_xnli = {
      "description": "XLM-RoBERTa is a multilingual variant of Facebook's RoBERTa model. It has been finetuned on the XNLI dataset for multilingual zero-shot text classification.",
      "tasks": ["text-classification"],
      "init_kwargs": {
          "model_path": "joeddav/xlm-roberta-large-xnli"
      },
      "details": {
          "num_parameters": 559893507,
          "max_input_text_length": 512,
          "text-classification": {
              "languages": ["eng", "deu", "fra", "spa", "ell", "bul", "rus", "tur", "ara", "vie", "tha", "zho", "hin", "swa", "urd"],
              "description": "The model has been explicitly finetuned on 15 languages, while the base model was trained on 100 different languages. This makes the model suited for multilingual zero-shot classification scenarios.",
              "zero_shot": True,
              # "score": {
              #     "value": 4,
              #     "description": "Score of xx on the xx dataset."
              # }
          },
          "credits": [
              {
                  "name": "Facebook AI",
                  "url": "https://arxiv.org/abs/1911.02116"
              },
              {
                  "name": "Joe Davison @ Hugging Face",
                  "url": "https://huggingface.co/joeddav/xlm-roberta-large-xnli"
              }
          ]
      }
  }
  
  models = {
      "bart-large-mnli": bart_large_mnli,
      "xlmr-large-xnli": xlmr_large_xnli,
      "deberta-base-mnli": deberta_base_mnli
  }