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
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| "anchor_num_heads": 4, | |
| "anchor_num_layers": 2, | |
| "backbone_type": "deberta_2d", | |
| "bos_token_id": 1, | |
| "cat_loss_coef": 1.0, | |
| "cat_parent_token": "[SCHEMA]", | |
| "cat_token": "[CLASS]", | |
| "cat_token_index": 128003, | |
| "child_token": "[FIELD]", | |
| "child_token_index": 128005, | |
| "class_token_index": 128001, | |
| "classification_config": { | |
| "anchor_context_gate_init": 0.1, | |
| "anchor_context_gate_trainable": true, | |
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| "anchor_layer": null, | |
| "anchor_memory_position": null, | |
| "anchor_memory_position_usage": null, | |
| "anchor_mode": "parent", | |
| "anchor_modeling": "linear", | |
| "anchor_normalization": "none", | |
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| "anchor_refine_heads": 8, | |
| "anchor_refine_layer_scale_init": null, | |
| "anchor_refine_layers": 0, | |
| "anchor_refine_norm": "post_norm", | |
| "anchor_refinement": null, | |
| "anchor_self_attention_bias": null, | |
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| "embed_cat_token": true, | |
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| "feature_anchor_mlp_hidden_multiplier": 1, | |
| "focal_loss_alpha": 0.8, | |
| "focal_loss_gamma": -1.0, | |
| "focal_loss_prob_margin": 0.0, | |
| "loss_coef": 1.0, | |
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| "pooling_type": "cls", | |
| "scorer_type": "dot" | |
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| "classifier_layer": null, | |
| "count_config": null, | |
| "count_layer": null, | |
| "count_loss_coef": 1.0, | |
| "count_mode": "regression", | |
| "dropout": 0.25, | |
| "embed_cat_token": true, | |
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| "embedding_config": { | |
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| "loss_fn": "mse", | |
| "margin": 0.0, | |
| "pooling_type": "cls", | |
| "projection_dim": 1024, | |
| "projection_dropout": 0.0, | |
| "similarity_fn": "cosine" | |
| }, | |
| "embedding_loss_coef": 1.0, | |
| "encoder_config": { | |
| "_name_or_path": "knowledgator/DeBERTa-large-joint-3000", | |
| "architectures": [ | |
| "FlashDebertaV2ForContextPredictionTraining" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "attn_kernel": "flash", | |
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| "chunk_size_feed_forward": 0, | |
| "coordinate_size": 128, | |
| "dtype": "bfloat16", | |
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| "1": "LABEL_1" | |
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| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "is_encoder_decoder": false, | |
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| "layout_bias_propagation": "all_layers", | |
| "layout_embedding_type": "absolute", | |
| "layout_max_relative_positions": 1024, | |
| "layout_position_buckets": 32, | |
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| "legacy": true, | |
| "max_2d_position_embeddings": 1024, | |
| "max_page_embeddings": 1024, | |
| "max_position_embeddings": 512, | |
| "max_relative_positions": -1, | |
| "model_type": "layout-deberta", | |
| "norm_rel_ebd": "layer_norm", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 0, | |
| "pooler_dropout": 0.0, | |
| "pooler_hidden_act": "gelu", | |
| "pooler_hidden_size": 1024, | |
| "pos_att_type": [ | |
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| "ent_token": "[ENTITY]", | |
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| "groups_layer": "fixed", | |
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| "joint_relex_config": { | |
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| "anchor_refine_norm": "post_norm", | |
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| "layout_image_tokens": true, | |
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| "max_len": 16384, | |
| "max_neg_type_ratio": 1, | |
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| "max_width": 12, | |
| "media_parent_embedding_source": "fixed", | |
| "model_name": "knowledgator/DeBERTa-large-joint-3000", | |
| "model_type": "gliformer-layout", | |
| "model_variant": "layout", | |
| "multimodal_fusion": "uni-encoder", | |
| "name": "gliformer", | |
| "neg_spans_ratio": 1.0, | |
| "ner_config": { | |
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| "relations_layer": null, | |
| "represent_spans": false, | |
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| "span_loss_reduction": "mean", | |
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| "relations_layer": null, | |
| "represent_spans": false, | |
| "sep_token": "[SEP]", | |
| "seq_token": "[SEQ]", | |
| "shared_anchor_modeling": null, | |
| "shared_anchor_refine_heads": 8, | |
| "shared_anchor_refine_layers": 0, | |
| "shared_anchor_refinement": null, | |
| "span_loss_coef": 1.0, | |
| "span_mode": "markerV0", | |
| "struct_parent_token": "[SCHEMA]", | |
| "structuring_child_token": "<<CHILD>>", | |
| "structuring_config": { | |
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| "anchor_context_gate_trainable": true, | |
| "anchor_cross_attention_bias": { | |
| "params": { | |
| "sigma": 0.5, | |
| "units": "query_steps", | |
| "weight": 1.0 | |
| }, | |
| "type": "gaussian_distance" | |
| }, | |
| "anchor_layer": { | |
| "params": { | |
| "num_slots": 100 | |
| }, | |
| "type": "fixed" | |
| }, | |
| "anchor_memory_position": { | |
| "params": {}, | |
| "type": "fourier" | |
| }, | |
| "anchor_memory_position_usage": "keys_and_values", | |
| "anchor_mode": "fixed_transformer", | |
| "anchor_modeling": "linear", | |
| "anchor_normalization": "center_rms", | |
| "anchor_num_heads": 4, | |
| "anchor_num_layers": 2, | |
| "anchor_objectness": true, | |
| "anchor_objectness_loss_coef": 1.0, | |
| "anchor_objectness_threshold": 0.5, | |
| "anchor_query_position": { | |
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| "type": "fourier" | |
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| "anchor_refinement": { | |
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| "norm_style": "pre_norm", | |
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| }, | |
| "type": "cross_attention" | |
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| "focal_loss_alpha": 0.75, | |
| "focal_loss_gamma": -1, | |
| "focal_loss_prob_margin": 0.0, | |
| "head_type": "structuring", | |
| "log_loss_stats": false, | |
| "log_loss_stats_every": 50, | |
| "loss_coef": 1.0, | |
| "masking": "none", | |
| "matcher_dice_cost": 1.0, | |
| "matcher_membership_cost": 1.0, | |
| "matcher_membership_temperature": 1.0, | |
| "matcher_objectness_cost": 0.5, | |
| "matcher_objectness_temperature": 1.0, | |
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| "max_count": 100, | |
| "memory_position_embedding_kwargs": {}, | |
| "memory_position_embedding_type": "none", | |
| "memory_position_in_values": false, | |
| "multi_level": true, | |
| "neg_spans_ratio": 1.0, | |
| "negatives": 1.0, | |
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| "num_fixed_slots": 10, | |
| "objectness_focal_loss_alpha": 0.5, | |
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| "parent_token_index": 128002, | |
| "position_bucket_attention_bias_type": "none", | |
| "position_bucket_attention_bias_weight": 1.0, | |
| "position_bucket_attention_sigma": 0.5, | |
| "position_bucket_normalization": "none", | |
| "query_position_embedding_kwargs": {}, | |
| "query_position_embedding_type": "none", | |
| "represent_spans": true, | |
| "reuse_ner_head": true, | |
| "span_loss_coef": 1.0, | |
| "span_loss_reduction": "mean", | |
| "structure_mode": { | |
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| "decoder_options": {}, | |
| "params": {}, | |
| "processor": null, | |
| "processor_options": {}, | |
| "type": "multi_level" | |
| }, | |
| "use_anchor_matching": true | |
| }, | |
| "structuring_end_token": "<<END>>", | |
| "structuring_loss_coef": 1.0, | |
| "subtoken_pooling": "first", | |
| "token_loss_coef": 1.0, | |
| "transformers_version": "5.16.1", | |
| "triples_layer": null, | |
| "use_layout": true, | |
| "vision_center_crop_size": null, | |
| "vision_do_normalize": false, | |
| "vision_do_rescale": true, | |
| "vision_image_mean": null, | |
| "vision_image_std": null, | |
| "vision_interpolation": "bilinear", | |
| "vision_processor_name": null, | |
| "vision_processor_type": "custom", | |
| "vision_resize_size": null, | |
| "vocab_size": 128008, | |
| "words_splitter_type": "whitespace" | |
| } | |