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_retrained_25/config.json from UTSCybeR/Edge-Computing-JEV-classifiers: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/UTSCybeR/Edge-Computing-JEV-classifiers/resolve/main/clf_retrained_25/config.json
- Command line
-
hf download hf://UTSCybeR/Edge-Computing-JEV-classifiers/clf_retrained_25/config.json
-
curl -L -o config.json https://huggingface.co/UTSCybeR/Edge-Computing-JEV-classifiers/resolve/main/clf_retrained_25/config.json
5.56 kB
| { | |
| "activation": "gelu", | |
| "architectures": [ | |
| "DistilBertForSequenceClassification" | |
| ], | |
| "attention_dropout": 0.1, | |
| "bos_token_id": null, | |
| "dim": 768, | |
| "dropout": 0.1, | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "hidden_dim": 3072, | |
| "id2label": { | |
| "0": "ambient_weather_station_aggregator", | |
| "1": "ar_marker_bundle_adjuster", | |
| "2": "audio_downsampling_resampler", | |
| "3": "audio_event_classifier", | |
| "4": "bgp_route_leak_detector", | |
| "5": "bridge_overheight_vehicle_detector", | |
| "6": "camera_tamper_detector", | |
| "7": "chat_message_translator", | |
| "8": "container_stack_counter", | |
| "9": "conveyor_belt_tear_inspector", | |
| "10": "coronary_calcium_ct_triage", | |
| "11": "count", | |
| "12": "crane_hook_detector", | |
| "13": "crowd_surge_detector", | |
| "14": "customs_declaration_parser", | |
| "15": "dense_depth_map_completer", | |
| "16": "drone_perimeter_alert", | |
| "17": "facial_blendshape_animator", | |
| "18": "fence_climbing_detector", | |
| "19": "fitting_room_occupancy_sensor", | |
| "20": "flood_water_level_gauge", | |
| "21": "fundus_diabetic_retinopathy_triage", | |
| "22": "gaussian_splat_renderer", | |
| "23": "geotiff_raster_compressor", | |
| "24": "glass_break_detector", | |
| "25": "glass_vial_crack_inspector", | |
| "26": "h264_bitrate_downscaler", | |
| "27": "handwritten_form_ocr", | |
| "28": "hazard_cone_detector", | |
| "29": "insurance_claim_form_parser", | |
| "30": "ip_fragmentation_attack_detector", | |
| "31": "ja_to_en_menu_translator", | |
| "32": "json_to_protobuf_serializer", | |
| "33": "loss_prevention_sweethearting_detector", | |
| "34": "medical_prescription_parser", | |
| "35": "ocr", | |
| "36": "packet_jitter_analyzer", | |
| "37": "parking_spot_counter", | |
| "38": "pedestrian_detector", | |
| "39": "pothole_road_surface_scanner", | |
| "40": "prescription_label_ocr", | |
| "41": "produce_ripeness_scanner", | |
| "42": "product_unit_counter", | |
| "43": "refrigeration_temperature_compliance_logger", | |
| "44": "roundabout_gap_analyzer", | |
| "45": "runway_incursion_detector", | |
| "46": "secure_server_rack_door_monitor", | |
| "47": "self_checkout_item_mismatch_detector", | |
| "48": "shipping_label_ocr", | |
| "49": "shipping_manifest_digitizer", | |
| "50": "skin_lesion_melanoma_triage", | |
| "51": "speech_to_text", | |
| "52": "tcp_retransmission_monitor", | |
| "53": "technical_terminology_normalizer", | |
| "54": "turbine_blade_thermal_inspector", | |
| "55": "vehicle_detector", | |
| "56": "visitor_id_scanner", | |
| "57": "water_leak_acoustic_detector", | |
| "58": "water_turbidity_clarity_meter", | |
| "59": "weld_seam_flaw_inspector", | |
| "60": "work_zone_merge_compliance_monitor", | |
| "61": "wrist_scaphoid_fracture_triage", | |
| "62": "wrong_way_driver_detector", | |
| "63": "zh_to_en_subtitle_generator", | |
| "64": "unsupported" | |
| }, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "ambient_weather_station_aggregator": 0, | |
| "ar_marker_bundle_adjuster": 1, | |
| "audio_downsampling_resampler": 2, | |
| "audio_event_classifier": 3, | |
| "bgp_route_leak_detector": 4, | |
| "bridge_overheight_vehicle_detector": 5, | |
| "camera_tamper_detector": 6, | |
| "chat_message_translator": 7, | |
| "container_stack_counter": 8, | |
| "conveyor_belt_tear_inspector": 9, | |
| "coronary_calcium_ct_triage": 10, | |
| "count": 11, | |
| "crane_hook_detector": 12, | |
| "crowd_surge_detector": 13, | |
| "customs_declaration_parser": 14, | |
| "dense_depth_map_completer": 15, | |
| "drone_perimeter_alert": 16, | |
| "facial_blendshape_animator": 17, | |
| "fence_climbing_detector": 18, | |
| "fitting_room_occupancy_sensor": 19, | |
| "flood_water_level_gauge": 20, | |
| "fundus_diabetic_retinopathy_triage": 21, | |
| "gaussian_splat_renderer": 22, | |
| "geotiff_raster_compressor": 23, | |
| "glass_break_detector": 24, | |
| "glass_vial_crack_inspector": 25, | |
| "h264_bitrate_downscaler": 26, | |
| "handwritten_form_ocr": 27, | |
| "hazard_cone_detector": 28, | |
| "insurance_claim_form_parser": 29, | |
| "ip_fragmentation_attack_detector": 30, | |
| "ja_to_en_menu_translator": 31, | |
| "json_to_protobuf_serializer": 32, | |
| "loss_prevention_sweethearting_detector": 33, | |
| "medical_prescription_parser": 34, | |
| "ocr": 35, | |
| "packet_jitter_analyzer": 36, | |
| "parking_spot_counter": 37, | |
| "pedestrian_detector": 38, | |
| "pothole_road_surface_scanner": 39, | |
| "prescription_label_ocr": 40, | |
| "produce_ripeness_scanner": 41, | |
| "product_unit_counter": 42, | |
| "refrigeration_temperature_compliance_logger": 43, | |
| "roundabout_gap_analyzer": 44, | |
| "runway_incursion_detector": 45, | |
| "secure_server_rack_door_monitor": 46, | |
| "self_checkout_item_mismatch_detector": 47, | |
| "shipping_label_ocr": 48, | |
| "shipping_manifest_digitizer": 49, | |
| "skin_lesion_melanoma_triage": 50, | |
| "speech_to_text": 51, | |
| "tcp_retransmission_monitor": 52, | |
| "technical_terminology_normalizer": 53, | |
| "turbine_blade_thermal_inspector": 54, | |
| "unsupported": 64, | |
| "vehicle_detector": 55, | |
| "visitor_id_scanner": 56, | |
| "water_leak_acoustic_detector": 57, | |
| "water_turbidity_clarity_meter": 58, | |
| "weld_seam_flaw_inspector": 59, | |
| "work_zone_merge_compliance_monitor": 60, | |
| "wrist_scaphoid_fracture_triage": 61, | |
| "wrong_way_driver_detector": 62, | |
| "zh_to_en_subtitle_generator": 63 | |
| }, | |
| "max_position_embeddings": 512, | |
| "model_type": "distilbert", | |
| "n_heads": 12, | |
| "n_layers": 6, | |
| "pad_token_id": 0, | |
| "problem_type": "single_label_classification", | |
| "qa_dropout": 0.1, | |
| "seq_classif_dropout": 0.2, | |
| "sinusoidal_pos_embds": false, | |
| "tie_weights_": true, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.17.0", | |
| "vocab_size": 30522 | |
| } | |