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erikweber
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hypewarner_petapter

Transformers
Safetensors
xlm-roberta
Inference Endpoints
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hypewarner_petapter
File size: 1,881 Bytes 
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{
  "_name_or_path": "xlm-roberta-large",
  "adapters": {
    "adapters": {
      "myadapter": "779363b34fd3bd94"
    },
    "config_map": {
      "779363b34fd3bd94": {
        "alpha": 16,
        "architecture": "lora",
        "attn_matrices": [
          "q",
          "v"
        ],
        "composition_mode": "add",
        "dropout": 0.0,
        "init_weights": "lora",
        "intermediate_lora": false,
        "leave_out": [],
        "output_lora": false,
        "r": 8,
        "selfattn_lora": true,
        "use_gating": false
      }
    },
    "fusion_config_map": {},
    "fusions": {}
  },
  "architectures": [
    "XLMRobertaAdapterModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": null,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": null,
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "prediction_heads": {
    "default": {
      "activation_function": "gelu",
      "bias": true,
      "embedding_size": 1024,
      "head_type": "masked_lm",
      "label2id": null,
      "layer_norm": true,
      "layers": 2,
      "shift_labels": false,
      "vocab_size": 250002
    },
    "myadapter": {
      "head_type": "PEThead",
      "id2tokenid": {
        "0": [
          81793
        ],
        "1": [
          35943
        ]
      },
      "id2tokenid_values": [
        35943,
        81793
      ],
      "vocab_size": 250002
    }
  },
  "torch_dtype": "float32",
  "transformers_version": "4.43.4",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}