config.json

{
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  "architectures": [
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  ],
  "auto_map": {
    "AutoConfig": "configuration_florence2.Florence2Config",
    "AutoModelForCausalLM": "modeling_florence2.Florence2ForConditionalGeneration"
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  "text_config": {
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    "gradient_checkpointing": false,
    "id2label": {
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      "1": "LABEL_1",
      "2": "LABEL_2"
    },
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    "is_decoder": false,
    "is_encoder_decoder": true,
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1,
      "LABEL_2": 2
    },
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    "max_position_embeddings": 1024,
    "min_length": 0,
    "model_type": "florence2_language",
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    "output_scores": false,
    "pad_token_id": 1,
    "prefix": null,
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    "pruned_heads": {},
    "remove_invalid_values": false,
    "repetition_penalty": 1.0,
    "return_dict": true,
    "return_dict_in_generate": false,
    "scale_embedding": false,
    "sep_token_id": null,
    "suppress_tokens": null,
    "task_specific_params": null,
    "temperature": 1.0,
    "tf_legacy_loss": false,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
    "top_k": 50,
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    "torch_dtype": null,
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    "typical_p": 1.0,
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    "use_cache": true,
    "vocab_size": 51289
  },
  "torch_dtype": "float32",
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  "vision_config": {
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    "add_cross_attention": false,
    "architectures": null,
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    "depths": [
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    "id2label": {
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    "image_feature_source": [
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      "temporal_avg_pool"
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      "type": "learned_abs_2d"
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    "visual_temporal_embedding": {
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      "type": "COSINE"
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    "window_size": 12
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  "vocab_size": 51289
}