Instructions to use FluidInference/jeff-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiFormer
How to use FluidInference/jeff-coreml with GLiFormer:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Add pinned source architecture config and provenance
Browse files- CONFIG_PROVENANCE.md +7 -0
- config.json +441 -0
CONFIG_PROVENANCE.md
ADDED
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# Root config provenance
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The root `config.json` is an unmodified copy of the architecture component config from [`knowledgator/gliformer-large-v1`](https://huggingface.co/knowledgator/gliformer-large-v1/tree/d0a4e53d09cebe6bc963dd9be319d4279084bb2d) at `d0a4e53d09cebe6bc963dd9be319d4279084bb2d`, path `gliner_config.json`.
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SHA-256: `80aec1c8824bd58d6733f27d78a8271420f2c7008e4b0c81313d8da09624eea4`.
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This file describes the source architecture. It does not make the Core ML package a standalone Transformers AutoModel checkpoint. Use the repository's Core ML runtime and its included tokenizer, decision heads, and calibration where applicable.
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config.json
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|
| 1 |
+
{
|
| 2 |
+
"adjacency_loss_coef": 1.0,
|
| 3 |
+
"anchor_num_heads": 4,
|
| 4 |
+
"anchor_num_layers": 2,
|
| 5 |
+
"backbone_type": "deberta_2d",
|
| 6 |
+
"bos_token_id": 1,
|
| 7 |
+
"cat_loss_coef": 1.0,
|
| 8 |
+
"cat_parent_token": "[SCHEMA]",
|
| 9 |
+
"cat_token": "[CLASS]",
|
| 10 |
+
"cat_token_index": 128003,
|
| 11 |
+
"child_token": "[FIELD]",
|
| 12 |
+
"child_token_index": 128005,
|
| 13 |
+
"class_token_index": 128001,
|
| 14 |
+
"classification_config": {
|
| 15 |
+
"anchor_context_gate_init": 0.1,
|
| 16 |
+
"anchor_context_gate_trainable": true,
|
| 17 |
+
"anchor_cross_attention_bias": null,
|
| 18 |
+
"anchor_layer": null,
|
| 19 |
+
"anchor_memory_position": null,
|
| 20 |
+
"anchor_memory_position_usage": null,
|
| 21 |
+
"anchor_mode": "parent",
|
| 22 |
+
"anchor_modeling": "linear",
|
| 23 |
+
"anchor_normalization": "none",
|
| 24 |
+
"anchor_query_position": null,
|
| 25 |
+
"anchor_refine_heads": 8,
|
| 26 |
+
"anchor_refine_layer_scale_init": null,
|
| 27 |
+
"anchor_refine_layers": 0,
|
| 28 |
+
"anchor_refine_norm": "post_norm",
|
| 29 |
+
"anchor_refinement": null,
|
| 30 |
+
"anchor_self_attention_bias": null,
|
| 31 |
+
"cat_token_index": 128003,
|
| 32 |
+
"embed_cat_token": true,
|
| 33 |
+
"embed_parent_token": true,
|
| 34 |
+
"feature_anchor_mlp": false,
|
| 35 |
+
"feature_anchor_mlp_hidden_multiplier": 1,
|
| 36 |
+
"focal_loss_alpha": 0.8,
|
| 37 |
+
"focal_loss_gamma": -1.0,
|
| 38 |
+
"focal_loss_prob_margin": 0.0,
|
| 39 |
+
"loss_coef": 1.0,
|
| 40 |
+
"parent_token_index": 128002,
|
| 41 |
+
"pooling_type": "cls",
|
| 42 |
+
"scorer_type": "dot"
|
| 43 |
+
},
|
| 44 |
+
"classifier_layer": null,
|
| 45 |
+
"count_config": null,
|
| 46 |
+
"count_layer": null,
|
| 47 |
+
"count_loss_coef": 1.0,
|
| 48 |
+
"count_mode": "regression",
|
| 49 |
+
"dropout": 0.25,
|
| 50 |
+
"embed_cat_token": true,
|
| 51 |
+
"embed_child_token": true,
|
| 52 |
+
"embed_ent_token": true,
|
| 53 |
+
"embed_parent_token": true,
|
| 54 |
+
"embed_rel_token": true,
|
| 55 |
+
"embedding_config": {
|
| 56 |
+
"encoder_dropout": 0.0,
|
| 57 |
+
"loss_coef": 1.0,
|
| 58 |
+
"loss_fn": "mse",
|
| 59 |
+
"margin": 0.0,
|
| 60 |
+
"pooling_type": "cls",
|
| 61 |
+
"projection_dim": 1024,
|
| 62 |
+
"projection_dropout": 0.0,
|
| 63 |
+
"similarity_fn": "cosine"
|
| 64 |
+
},
|
| 65 |
+
"embedding_loss_coef": 1.0,
|
| 66 |
+
"encoder_config": {
|
| 67 |
+
"_name_or_path": "knowledgator/DeBERTa-large-joint-3000",
|
| 68 |
+
"architectures": [
|
| 69 |
+
"FlashDebertaV2ForContextPredictionTraining"
|
| 70 |
+
],
|
| 71 |
+
"attention_probs_dropout_prob": 0.0,
|
| 72 |
+
"attn_kernel": "flash",
|
| 73 |
+
"bos_token_id": null,
|
| 74 |
+
"chunk_size_feed_forward": 0,
|
| 75 |
+
"coordinate_size": 128,
|
| 76 |
+
"dtype": "bfloat16",
|
| 77 |
+
"eos_token_id": null,
|
| 78 |
+
"hidden_act": "gelu",
|
| 79 |
+
"hidden_dropout_prob": 0.0,
|
| 80 |
+
"hidden_size": 1024,
|
| 81 |
+
"id2label": {
|
| 82 |
+
"0": "LABEL_0",
|
| 83 |
+
"1": "LABEL_1"
|
| 84 |
+
},
|
| 85 |
+
"initializer_range": 0.02,
|
| 86 |
+
"intermediate_size": 4096,
|
| 87 |
+
"is_encoder_decoder": false,
|
| 88 |
+
"label2id": {
|
| 89 |
+
"LABEL_0": 0,
|
| 90 |
+
"LABEL_1": 1
|
| 91 |
+
},
|
| 92 |
+
"layer_norm_eps": 1e-07,
|
| 93 |
+
"layout_bias_propagation": "all_layers",
|
| 94 |
+
"layout_embedding_type": "absolute",
|
| 95 |
+
"layout_max_relative_positions": 1024,
|
| 96 |
+
"layout_position_buckets": 32,
|
| 97 |
+
"layout_relative_attention": false,
|
| 98 |
+
"legacy": true,
|
| 99 |
+
"max_2d_position_embeddings": 1024,
|
| 100 |
+
"max_page_embeddings": 1024,
|
| 101 |
+
"max_position_embeddings": 512,
|
| 102 |
+
"max_relative_positions": -1,
|
| 103 |
+
"model_type": "layout-deberta",
|
| 104 |
+
"norm_rel_ebd": "layer_norm",
|
| 105 |
+
"num_attention_heads": 16,
|
| 106 |
+
"num_hidden_layers": 24,
|
| 107 |
+
"output_attentions": false,
|
| 108 |
+
"output_hidden_states": false,
|
| 109 |
+
"pad_token_id": 0,
|
| 110 |
+
"pooler_dropout": 0.0,
|
| 111 |
+
"pooler_hidden_act": "gelu",
|
| 112 |
+
"pooler_hidden_size": 1024,
|
| 113 |
+
"pos_att_type": [
|
| 114 |
+
"p2c",
|
| 115 |
+
"c2p"
|
| 116 |
+
],
|
| 117 |
+
"position_biased_input": false,
|
| 118 |
+
"position_buckets": 256,
|
| 119 |
+
"problem_type": null,
|
| 120 |
+
"relative_attention": true,
|
| 121 |
+
"return_dict": true,
|
| 122 |
+
"shape_size": 64,
|
| 123 |
+
"share_att_key": true,
|
| 124 |
+
"spatial_embedding_type": "absolute",
|
| 125 |
+
"tie_word_embeddings": true,
|
| 126 |
+
"type_vocab_size": 0,
|
| 127 |
+
"vocab_size": 128008
|
| 128 |
+
},
|
| 129 |
+
"ent_token": "[ENTITY]",
|
| 130 |
+
"eos_token_id": 2,
|
| 131 |
+
"fine_tune": true,
|
| 132 |
+
"fuse_layers": false,
|
| 133 |
+
"groups_layer": "fixed",
|
| 134 |
+
"groups_loss_coef": 1.0,
|
| 135 |
+
"hidden_size": 1024,
|
| 136 |
+
"image_size": 224,
|
| 137 |
+
"joint_relex_config": {
|
| 138 |
+
"adjacency_loss_coef": 1.0,
|
| 139 |
+
"anchor_context_gate_init": 0.1,
|
| 140 |
+
"anchor_context_gate_trainable": true,
|
| 141 |
+
"anchor_cross_attention_bias": null,
|
| 142 |
+
"anchor_layer": null,
|
| 143 |
+
"anchor_memory_position": null,
|
| 144 |
+
"anchor_memory_position_usage": null,
|
| 145 |
+
"anchor_mode": "fixed",
|
| 146 |
+
"anchor_modeling": "linear",
|
| 147 |
+
"anchor_normalization": "none",
|
| 148 |
+
"anchor_num_heads": 4,
|
| 149 |
+
"anchor_num_layers": 2,
|
| 150 |
+
"anchor_query_position": null,
|
| 151 |
+
"anchor_refine_heads": 8,
|
| 152 |
+
"anchor_refine_layer_scale_init": null,
|
| 153 |
+
"anchor_refine_layers": 0,
|
| 154 |
+
"anchor_refine_norm": "post_norm",
|
| 155 |
+
"anchor_refinement": null,
|
| 156 |
+
"anchor_self_attention_bias": null,
|
| 157 |
+
"embed_parent_token": true,
|
| 158 |
+
"embed_rel_token": true,
|
| 159 |
+
"feature_anchor_mlp": false,
|
| 160 |
+
"feature_anchor_mlp_hidden_multiplier": 1,
|
| 161 |
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