{
    "return_dict": true,
    "output_hidden_states": false,
    "output_attentions": false,
    "torchscript": false,
    "torch_dtype": "float32",
    "use_bfloat16": false,
    "tf_legacy_loss": false,
    "pruned_heads": {},
    "tie_word_embeddings": true,
    "is_encoder_decoder": false,
    "is_decoder": false,
    "cross_attention_hidden_size": null,
    "add_cross_attention": false,
    "tie_encoder_decoder": false,
    "max_length": 20,
    "min_length": 0,
    "do_sample": false,
    "early_stopping": false,
    "num_beams": 1,
    "num_beam_groups": 1,
    "diversity_penalty": 0.0,
    "temperature": 1.0,
    "top_k": 50,
    "top_p": 1.0,
    "typical_p": 1.0,
    "repetition_penalty": 1.0,
    "length_penalty": 1.0,
    "no_repeat_ngram_size": 0,
    "encoder_no_repeat_ngram_size": 0,
    "bad_words_ids": null,
    "num_return_sequences": 1,
    "chunk_size_feed_forward": 0,
    "output_scores": false,
    "return_dict_in_generate": false,
    "forced_bos_token_id": null,
    "forced_eos_token_id": null,
    "remove_invalid_values": false,
    "exponential_decay_length_penalty": null,
    "suppress_tokens": null,
    "begin_suppress_tokens": null,
    "architectures": [
        "BertModel"
    ],
    "finetuning_task": null,
    "id2label": {
        "0": "LABEL_0",
        "1": "LABEL_1"
    },
    "label2id": {
        "LABEL_0": 0,
        "LABEL_1": 1
    },
    "tokenizer_class": "XLMRobertaTokenizer",
    "prefix": null,
    "bos_token_id": null,
    "pad_token_id": 0,
    "eos_token_id": null,
    "sep_token_id": null,
    "decoder_start_token_id": null,
    "task_specific_params": null,
    "problem_type": null,
    "_name_or_path": "/Users/katopz/.cache/huggingface/hub/models--intfloat--multilingual-e5-small/snapshots/ffdcc22a9a5c973ef0470385cef91e1ecb461d9f",
    "transformers_version": "4.36.2",
    "model_type": "bert",
    "vocab_size": 250037,
    "hidden_size": 384,
    "num_hidden_layers": 12,
    "num_attention_heads": 12,
    "hidden_act": "gelu",
    "intermediate_size": 1536,
    "hidden_dropout_prob": 0.1,
    "attention_probs_dropout_prob": 0.1,
    "max_position_embeddings": 512,
    "type_vocab_size": 2,
    "initializer_range": 0.02,
    "layer_norm_eps": 1e-12,
    "position_embedding_type": "absolute",
    "use_cache": true,
    "classifier_dropout": null
}