Text Classification
Transformers
Safetensors
English
edge-computing
service-orchestration
intent-classification
Instructions to use UTSCybeR/Edge-Computing-JEV-classifiers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UTSCybeR/Edge-Computing-JEV-classifiers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UTSCybeR/Edge-Computing-JEV-classifiers")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UTSCybeR/Edge-Computing-JEV-classifiers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download clf_all/training.json from UTSCybeR/Edge-Computing-JEV-classifiers: direct link, hf CLI and curl.
- Browser
- Download file 8.87 kB
-
https://huggingface.co/UTSCybeR/Edge-Computing-JEV-classifiers/resolve/main/clf_all/training.json
- Command line
-
hf download hf://UTSCybeR/Edge-Computing-JEV-classifiers/clf_all/training.json
-
curl -L -o training.json https://huggingface.co/UTSCybeR/Edge-Computing-JEV-classifiers/resolve/main/clf_all/training.json
8.87 kB
| { | |
| "model_type": "clf_all", | |
| "base_model": "distilbert/distilbert-base-uncased", | |
| "pinned_revision": "12040accade4e8a0f71eabdb258fecc2e7e948be", | |
| "label_space_size": 255, | |
| "label_space": [ | |
| "academic_transcript_parser", | |
| "air_quality_pm25_analyzer", | |
| "aisle_congestion_monitor", | |
| "ambient_noise_level_meter", | |
| "ambient_weather_station_aggregator", | |
| "animal_detector", | |
| "anti_passback_enforcer", | |
| "ar_marker_bundle_adjuster", | |
| "arp_spoofing_detector", | |
| "audio_downsampling_resampler", | |
| "audio_event_classifier", | |
| "audio_flac_to_opus_compressor", | |
| "audio_guide_multilingual_synthesizer", | |
| "av1_video_transcoder", | |
| "badge_credential_reader", | |
| "bank_check_micr_parser", | |
| "bank_statement_table_parser", | |
| "bedside_lung_ultrasound_pneumothorax_triage", | |
| "bgp_route_leak_detector", | |
| "bicycle_counter", | |
| "bicycle_lane_blockage_detector", | |
| "bill_of_lading_parser", | |
| "billboard_text_ocr", | |
| "biometric_fingerprint_reader", | |
| "bone_radiograph_fracture_triage", | |
| "bottle_fill_level_inspector", | |
| "bridge_overheight_vehicle_detector", | |
| "bufferbloat_queue_analyzer", | |
| "bus_lane_encroachment_detector", | |
| "business_card_ocr", | |
| "camera_tamper_detector", | |
| "car_alarm_detector", | |
| "cart_abandonment_tracker", | |
| "carton_counter", | |
| "cell_counter", | |
| "chat_message_translator", | |
| "chest_xray_pneumonia_triage", | |
| "circuit_board_silkscreen_ocr", | |
| "co2_indoor_ventilation_monitor", | |
| "construction_activity_analyzer", | |
| "container_code_ocr", | |
| "container_stack_counter", | |
| "conveyor_belt_tear_inspector", | |
| "coronary_calcium_ct_triage", | |
| "cough_detector", | |
| "count", | |
| "coupon_kiosk_engagement_meter", | |
| "crane_hook_detector", | |
| "crosswalk_jaywalking_detector", | |
| "crowd_head_counter", | |
| "crowd_surge_detector", | |
| "cry_detector", | |
| "ct_brain_hemorrhage_triage", | |
| "customer_dwell_time_meter", | |
| "customs_declaration_parser", | |
| "cyclist_detector", | |
| "ddos_syn_flood_detector", | |
| "de_to_en_industrial_translator", | |
| "dense_depth_map_completer", | |
| "dental_caries_xray_triage", | |
| "detection", | |
| "dicom_medical_image_compressor", | |
| "dns_tunneling_detector", | |
| "docking_bay_dwell_analyzer", | |
| "door_forced_open_detector", | |
| "door_held_open_notifier", | |
| "drone_acoustic_classifier", | |
| "drone_detector", | |
| "drone_perimeter_alert", | |
| "ecg_arrhythmia_triage", | |
| "emergency_phrase_translator", | |
| "emergency_siren_detector", | |
| "en_to_de_industrial_translator", | |
| "en_to_es_speech_translator", | |
| "en_to_fr_document_translator", | |
| "en_to_ja_menu_translator", | |
| "en_to_zh_subtitle_generator", | |
| "endcap_promotional_gaze_tracker", | |
| "endoscopy_polyps_triage", | |
| "es_to_en_speech_translator", | |
| "escalator_stoppage_detector", | |
| "ev_charging_bay_hogging_detector", | |
| "eye_gaze_direction_tracker", | |
| "fabric_defect_inspector", | |
| "facial_access_verifier", | |
| "facial_blendshape_animator", | |
| "fence_climbing_detector", | |
| "fire_detector", | |
| "fitting_room_occupancy_sensor", | |
| "flood_water_level_gauge", | |
| "flow_volume_anomaly_detector", | |
| "food_package_seal_inspector", | |
| "footwear_try_on_counter", | |
| "forklift_detector", | |
| "fr_to_en_document_translator", | |
| "fundus_diabetic_retinopathy_triage", | |
| "gaussian_splat_renderer", | |
| "geotiff_raster_compressor", | |
| "glass_break_detector", | |
| "glass_vial_crack_inspector", | |
| "grab_and_go_basket_tracker", | |
| "gunshot_detector", | |
| "h264_bitrate_downscaler", | |
| "h265_video_transcoder", | |
| "hand_mesh_pose_tracker", | |
| "handwritten_form_ocr", | |
| "handwritten_survey_digitizer", | |
| "hazard_cone_detector", | |
| "hdr_to_sdr_tone_mapper", | |
| "heat_map_path_analyzer", | |
| "highway_ramp_metering_analyzer", | |
| "hov_lane_occupancy_verifier", | |
| "identity_card_extractor", | |
| "illegal_parking_meter", | |
| "industrial_bearing_monitor", | |
| "injection_molding_short_shot_inspector", | |
| "instrument_gauge_ocr", | |
| "insurance_claim_form_parser", | |
| "interface_flapping_detector", | |
| "intersection_turning_count_analyzer", | |
| "invoice_data_extractor", | |
| "ip_fragmentation_attack_detector", | |
| "iris_biometric_authenticator", | |
| "ja_to_en_menu_translator", | |
| "jpeg_to_webp_converter", | |
| "json_to_protobuf_serializer", | |
| "label_alignment_inspector", | |
| "language_identifier", | |
| "legal_contract_clause_tagger", | |
| "license_plate_barrier_opener", | |
| "license_plate_ocr", | |
| "live_dialogue_interpreter", | |
| "livestock_counter", | |
| "loitering_at_atm_detector", | |
| "loitering_detector", | |
| "loss_prevention_sweethearting_detector", | |
| "lossless_log_zstd_compressor", | |
| "luggage_counter", | |
| "mammogram_mass_triage", | |
| "medical_prescription_parser", | |
| "mesh_simplifier_lod", | |
| "meter_reading_ocr", | |
| "multicast_storm_suppressor", | |
| "multilingual_sign_translator", | |
| "noise_pollution_monitor", | |
| "ntp_clock_drift_monitor", | |
| "occlusion_culling_optimizer", | |
| "ocean_wave_height_buoy_analyzer", | |
| "ocr", | |
| "package_xray_contraband_screener", | |
| "packet_jitter_analyzer", | |
| "paint_scratch_inspector", | |
| "pallet_counter", | |
| "parking_spot_counter", | |
| "parquet_columnar_encoder", | |
| "passport_mrz_ocr", | |
| "pcb_solder_bridge_inspector", | |
| "pedestrian_crosswalk_occupancy_sensor", | |
| "pedestrian_detector", | |
| "people_counter", | |
| "perimeter_intrusion_detector", | |
| "photorealistic_light_estimator", | |
| "planogram_compliance_checker", | |
| "point_cloud_draco_compressor", | |
| "point_cloud_mesher", | |
| "pothole_road_surface_scanner", | |
| "ppe_detector", | |
| "prescription_label_ocr", | |
| "produce_ripeness_scanner", | |
| "product_unit_counter", | |
| "puddle_detector", | |
| "purchase_order_matcher", | |
| "queue_length_analyzer", | |
| "radiation_geiger_counter_monitor", | |
| "rail_crossing_blockage_detector", | |
| "rail_level_crossing_queue_monitor", | |
| "receipt_expense_categorizer", | |
| "receipt_text_ocr", | |
| "refrigeration_temperature_compliance_logger", | |
| "retinal_oct_macular_edema_triage", | |
| "rogue_dhcp_server_detector", | |
| "roundabout_gap_analyzer", | |
| "rubber_o_ring_flaw_inspector", | |
| "runway_incursion_detector", | |
| "school_zone_speed_monitor", | |
| "seat_occupancy_counter", | |
| "secure_server_rack_door_monitor", | |
| "self_checkout_item_mismatch_detector", | |
| "shadow_map_projector", | |
| "sheet_metal_burr_inspector", | |
| "shelf_out_of_stock_detector", | |
| "shelf_tag_ocr", | |
| "shipping_label_ocr", | |
| "shipping_manifest_digitizer", | |
| "shopper_gender_age_estimator", | |
| "shopping_basket_volume_estimator", | |
| "shopping_cart_detector", | |
| "skin_lesion_melanoma_triage", | |
| "slam_pose_tracker", | |
| "slip_and_fall_detector", | |
| "soil_moisture_irrigation_controller", | |
| "solar_cell_microcrack_inspector", | |
| "solar_panel_counter", | |
| "spatial_audio_binauralizer", | |
| "speaker_diarization", | |
| "speech_to_text", | |
| "speeding_vehicle_detector", | |
| "spill_detector", | |
| "spinal_fracture_xray_triage", | |
| "ssl_certificate_expiry_watcher", | |
| "stroke_mri_diffusion_triage", | |
| "structural_vibration_accelerometer", | |
| "surface_plane_detector", | |
| "tablet_pill_blister_inspector", | |
| "tailgating_access_interceptor", | |
| "tailgating_detector", | |
| "tax_form_w2_parser", | |
| "tcp_retransmission_monitor", | |
| "technical_terminology_normalizer", | |
| "texture_atlas_baker", | |
| "threaded_screw_inspector", | |
| "time_series_gorilla_compressor", | |
| "tire_dot_ocr", | |
| "tls_fingerprint_classifier", | |
| "toxic_gas_h2s_leak_detector", | |
| "traffic_congestion_analyzer", | |
| "traffic_incident_detector", | |
| "traffic_light_violation_detector", | |
| "tree_crown_counter", | |
| "turbine_blade_thermal_inspector", | |
| "ultrasound_dvt_triage", | |
| "unattended_baggage_detector", | |
| "under_vehicle_inspection_scanner", | |
| "utility_bill_parser", | |
| "uv_index_solar_radiometer", | |
| "vehicle_counter", | |
| "vehicle_detector", | |
| "video_keyframe_extractor", | |
| "vin_ocr", | |
| "virtual_object_occlusion_masker", | |
| "visitor_id_scanner", | |
| "voice_stress_analyzer", | |
| "volatile_organic_compound_voc_sensor", | |
| "wake_word_spotter", | |
| "water_leak_acoustic_detector", | |
| "water_turbidity_clarity_meter", | |
| "weapon_detector", | |
| "weld_seam_flaw_inspector", | |
| "wifi_channel_interference_analyzer", | |
| "wildfire_thermal_hotspot_detector", | |
| "work_zone_merge_compliance_monitor", | |
| "wrist_scaphoid_fracture_triage", | |
| "wrong_way_driver_detector", | |
| "zh_to_en_subtitle_generator", | |
| "unsupported" | |
| ], | |
| "data_counts": { | |
| "model_type": "clf_all", | |
| "label_space_size": 255, | |
| "synthetic_descriptions": 254, | |
| "dev_cases": 300, | |
| "adaptation_examples": 0, | |
| "total_examples": 554 | |
| }, | |
| "adaptation_examples_count": 0, | |
| "epochs": 10, | |
| "batch_size": 16, | |
| "learning_rate": 5e-05, | |
| "weight_decay": 0.01, | |
| "max_len": 128, | |
| "seed": 20260924, | |
| "device": "mps", | |
| "wall_time_s": 23.41496992111206, | |
| "final_train_loss": 1.744660261305661 | |
| } |