Image Classification
Transformers
Safetensors
siglip2_hier_doc
feature-extraction
siglip2
document-classification
hierarchical
multi-task
custom_code
Instructions to use ekacare/med-doc-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekacare/med-doc-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ekacare/med-doc-classifier", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ekacare/med-doc-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
eka-doc-classifier: base1024 hier (flat L2 default + scope/l1 select, quality 1-100 score)
29467f3 verified | { | |
| "architectures": [ | |
| "Siglip2HierForDocClassification" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_siglip2_hier.Siglip2HierConfig", | |
| "AutoModel": "modeling_siglip2_hier.Siglip2HierForDocClassification" | |
| }, | |
| "base_model_id": "google/siglip2-base-patch16-naflex", | |
| "default_scope": "flat", | |
| "dtype": "bfloat16", | |
| "flat_l2_classes": [ | |
| "letter", | |
| "other_document", | |
| "scan_interpretation", | |
| "lab_diagnostic_report", | |
| "opd_consultation_record", | |
| "discharge_summary", | |
| "insurance_document", | |
| "form", | |
| "invoice_bill", | |
| "certificate", | |
| "other_miscellaneous", | |
| "medication_image", | |
| "ultrasound", | |
| "x_ray", | |
| "mri", | |
| "ct", | |
| "other_diagnostic_imaging", | |
| "abha_card", | |
| "voter_id", | |
| "aadhaar_card", | |
| "insurance_e_card", | |
| "pan_card", | |
| "pmjay_ayushman", | |
| "other_card", | |
| "headshot", | |
| "skin_wound", | |
| "other_body_images" | |
| ], | |
| "flat_l2_to_l1": { | |
| "aadhaar_card": "Card / credential", | |
| "abha_card": "Card / credential", | |
| "certificate": "Document", | |
| "ct": "Diagnostic imaging", | |
| "discharge_summary": "Document", | |
| "form": "Document", | |
| "headshot": "Body images", | |
| "insurance_document": "Document", | |
| "insurance_e_card": "Card / credential", | |
| "invoice_bill": "Document", | |
| "lab_diagnostic_report": "Document", | |
| "letter": "Document", | |
| "medication_image": "Miscellaneous", | |
| "mri": "Diagnostic imaging", | |
| "opd_consultation_record": "Document", | |
| "other_body_images": "Body images", | |
| "other_card": "Card / credential", | |
| "other_diagnostic_imaging": "Diagnostic imaging", | |
| "other_document": "Document", | |
| "other_miscellaneous": "Miscellaneous", | |
| "pan_card": "Card / credential", | |
| "pmjay_ayushman": "Card / credential", | |
| "scan_interpretation": "Document", | |
| "skin_wound": "Body images", | |
| "ultrasound": "Diagnostic imaging", | |
| "voter_id": "Card / credential", | |
| "x_ray": "Diagnostic imaging" | |
| }, | |
| "hand_classes": [ | |
| "printed", | |
| "handwritten" | |
| ], | |
| "head_hidden": 512, | |
| "hidden_size": 768, | |
| "l1_classes": [ | |
| "Document", | |
| "Miscellaneous", | |
| "Diagnostic imaging", | |
| "Card / credential", | |
| "Body images" | |
| ], | |
| "l2_by_l1": { | |
| "Body images": [ | |
| "headshot", | |
| "skin_wound", | |
| "other_body_images" | |
| ], | |
| "Card / credential": [ | |
| "abha_card", | |
| "voter_id", | |
| "aadhaar_card", | |
| "insurance_e_card", | |
| "pan_card", | |
| "pmjay_ayushman", | |
| "other_card" | |
| ], | |
| "Diagnostic imaging": [ | |
| "ultrasound", | |
| "x_ray", | |
| "mri", | |
| "ct", | |
| "other_diagnostic_imaging" | |
| ], | |
| "Document": [ | |
| "letter", | |
| "other_document", | |
| "scan_interpretation", | |
| "lab_diagnostic_report", | |
| "opd_consultation_record", | |
| "discharge_summary", | |
| "insurance_document", | |
| "form", | |
| "invoice_bill", | |
| "certificate" | |
| ], | |
| "Miscellaneous": [ | |
| "other_miscellaneous", | |
| "medication_image" | |
| ] | |
| }, | |
| "l2_display": { | |
| "aadhaar_card": "Aadhaar card", | |
| "abha_card": "ABHA card", | |
| "certificate": "Certificate", | |
| "ct": "CT", | |
| "discharge_summary": "Discharge summary", | |
| "form": "Form", | |
| "headshot": "Headshot", | |
| "insurance_document": "Insurance document", | |
| "insurance_e_card": "Insurance e-card", | |
| "invoice_bill": "Invoice / bill", | |
| "lab_diagnostic_report": "Lab / diagnostic report", | |
| "letter": "Letter", | |
| "medication_image": "Medication image", | |
| "mri": "MRI", | |
| "opd_consultation_record": "OPD Consultation Record", | |
| "other_body_images": "Other (Body images)", | |
| "other_card": "Other card", | |
| "other_diagnostic_imaging": "Other (Diagnostic imaging)", | |
| "other_document": "Other document", | |
| "other_miscellaneous": "Other (Miscellaneous)", | |
| "pan_card": "PAN card", | |
| "pmjay_ayushman": "PMJAY / Ayushman", | |
| "scan_interpretation": "Scan interpretation", | |
| "skin_wound": "Skin / wound", | |
| "ultrasound": "Ultrasound", | |
| "voter_id": "Voter ID", | |
| "x_ray": "X-ray" | |
| }, | |
| "max_num_patches": 1024, | |
| "med_classes": [ | |
| "non_medical", | |
| "medical" | |
| ], | |
| "model_type": "siglip2_hier_doc", | |
| "qual_classes": [ | |
| "poor", | |
| "good" | |
| ], | |
| "quality_score_label": "good", | |
| "quality_score_max": 100, | |
| "quality_score_min": 1, | |
| "sigmoid_heads": [ | |
| "med", | |
| "hand", | |
| "qual" | |
| ], | |
| "transformers_version": "5.10.2", | |
| "vision_config": { | |
| "_name_or_path": "", | |
| "architectures": null, | |
| "attention_dropout": 0.0, | |
| "chunk_size_feed_forward": 0, | |
| "dtype": null, | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "intermediate_size": 3072, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "layer_norm_eps": 1e-06, | |
| "model_type": "siglip2_vision_model", | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "num_patches": 256, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "patch_size": 16, | |
| "problem_type": null, | |
| "return_dict": true, | |
| "transformers_version": "5.10.2" | |
| } | |
| } | |