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{
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  "architectures": [
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  ],
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  "dropout": 0.05,
  "hidden_dim": 640,
  "input_dim": 384,
  "intermediate_dim": 2560,
  "kernel_size": 11,
  "latent": false,
  "mlm": false,
  "mnr": false,
  "model_type": "CAMP",
  "nhead": 8,
  "nlp_path": "allenai/scibert_scivocab_uncased",
  "num_hidden_layers": 1,
  "out_dim": 512,
  "plm_path": "facebook/esm2_t33_650m_UR50D",
  "pooling": "avg",
  "token": null,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2"
}