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_50/config.json from UTSCybeR/Edge-Computing-JEV-classifiers: direct link, hf CLI and curl.
- Browser
- Download file 5.55 kB
-
https://huggingface.co/UTSCybeR/Edge-Computing-JEV-classifiers/resolve/main/clf_retrained_50/config.json
- Command line
-
hf download hf://UTSCybeR/Edge-Computing-JEV-classifiers/clf_retrained_50/config.json
-
curl -L -o config.json https://huggingface.co/UTSCybeR/Edge-Computing-JEV-classifiers/resolve/main/clf_retrained_50/config.json
5.55 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": "academic_transcript_parser", | |
| "1": "ar_marker_bundle_adjuster", | |
| "2": "audio_downsampling_resampler", | |
| "3": "bank_statement_table_parser", | |
| "4": "bedside_lung_ultrasound_pneumothorax_triage", | |
| "5": "bridge_overheight_vehicle_detector", | |
| "6": "bufferbloat_queue_analyzer", | |
| "7": "business_card_ocr", | |
| "8": "camera_tamper_detector", | |
| "9": "car_alarm_detector", | |
| "10": "chest_xray_pneumonia_triage", | |
| "11": "co2_indoor_ventilation_monitor", | |
| "12": "container_stack_counter", | |
| "13": "count", | |
| "14": "crowd_surge_detector", | |
| "15": "dense_depth_map_completer", | |
| "16": "dental_caries_xray_triage", | |
| "17": "detection", | |
| "18": "door_forced_open_detector", | |
| "19": "emergency_siren_detector", | |
| "20": "en_to_es_speech_translator", | |
| "21": "en_to_fr_document_translator", | |
| "22": "es_to_en_speech_translator", | |
| "23": "facial_access_verifier", | |
| "24": "facial_blendshape_animator", | |
| "25": "fitting_room_occupancy_sensor", | |
| "26": "flow_volume_anomaly_detector", | |
| "27": "food_package_seal_inspector", | |
| "28": "gaussian_splat_renderer", | |
| "29": "geotiff_raster_compressor", | |
| "30": "glass_vial_crack_inspector", | |
| "31": "h264_bitrate_downscaler", | |
| "32": "industrial_bearing_monitor", | |
| "33": "injection_molding_short_shot_inspector", | |
| "34": "iris_biometric_authenticator", | |
| "35": "json_to_protobuf_serializer", | |
| "36": "live_dialogue_interpreter", | |
| "37": "loss_prevention_sweethearting_detector", | |
| "38": "meter_reading_ocr", | |
| "39": "noise_pollution_monitor", | |
| "40": "parking_spot_counter", | |
| "41": "passport_mrz_ocr", | |
| "42": "pothole_road_surface_scanner", | |
| "43": "produce_ripeness_scanner", | |
| "44": "product_unit_counter", | |
| "45": "puddle_detector", | |
| "46": "roundabout_gap_analyzer", | |
| "47": "runway_incursion_detector", | |
| "48": "self_checkout_item_mismatch_detector", | |
| "49": "tax_form_w2_parser", | |
| "50": "tls_fingerprint_classifier", | |
| "51": "turbine_blade_thermal_inspector", | |
| "52": "ultrasound_dvt_triage", | |
| "53": "unattended_baggage_detector", | |
| "54": "under_vehicle_inspection_scanner", | |
| "55": "utility_bill_parser", | |
| "56": "vin_ocr", | |
| "57": "volatile_organic_compound_voc_sensor", | |
| "58": "wake_word_spotter", | |
| "59": "water_turbidity_clarity_meter", | |
| "60": "weapon_detector", | |
| "61": "wifi_channel_interference_analyzer", | |
| "62": "work_zone_merge_compliance_monitor", | |
| "63": "wrong_way_driver_detector", | |
| "64": "unsupported" | |
| }, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "academic_transcript_parser": 0, | |
| "ar_marker_bundle_adjuster": 1, | |
| "audio_downsampling_resampler": 2, | |
| "bank_statement_table_parser": 3, | |
| "bedside_lung_ultrasound_pneumothorax_triage": 4, | |
| "bridge_overheight_vehicle_detector": 5, | |
| "bufferbloat_queue_analyzer": 6, | |
| "business_card_ocr": 7, | |
| "camera_tamper_detector": 8, | |
| "car_alarm_detector": 9, | |
| "chest_xray_pneumonia_triage": 10, | |
| "co2_indoor_ventilation_monitor": 11, | |
| "container_stack_counter": 12, | |
| "count": 13, | |
| "crowd_surge_detector": 14, | |
| "dense_depth_map_completer": 15, | |
| "dental_caries_xray_triage": 16, | |
| "detection": 17, | |
| "door_forced_open_detector": 18, | |
| "emergency_siren_detector": 19, | |
| "en_to_es_speech_translator": 20, | |
| "en_to_fr_document_translator": 21, | |
| "es_to_en_speech_translator": 22, | |
| "facial_access_verifier": 23, | |
| "facial_blendshape_animator": 24, | |
| "fitting_room_occupancy_sensor": 25, | |
| "flow_volume_anomaly_detector": 26, | |
| "food_package_seal_inspector": 27, | |
| "gaussian_splat_renderer": 28, | |
| "geotiff_raster_compressor": 29, | |
| "glass_vial_crack_inspector": 30, | |
| "h264_bitrate_downscaler": 31, | |
| "industrial_bearing_monitor": 32, | |
| "injection_molding_short_shot_inspector": 33, | |
| "iris_biometric_authenticator": 34, | |
| "json_to_protobuf_serializer": 35, | |
| "live_dialogue_interpreter": 36, | |
| "loss_prevention_sweethearting_detector": 37, | |
| "meter_reading_ocr": 38, | |
| "noise_pollution_monitor": 39, | |
| "parking_spot_counter": 40, | |
| "passport_mrz_ocr": 41, | |
| "pothole_road_surface_scanner": 42, | |
| "produce_ripeness_scanner": 43, | |
| "product_unit_counter": 44, | |
| "puddle_detector": 45, | |
| "roundabout_gap_analyzer": 46, | |
| "runway_incursion_detector": 47, | |
| "self_checkout_item_mismatch_detector": 48, | |
| "tax_form_w2_parser": 49, | |
| "tls_fingerprint_classifier": 50, | |
| "turbine_blade_thermal_inspector": 51, | |
| "ultrasound_dvt_triage": 52, | |
| "unattended_baggage_detector": 53, | |
| "under_vehicle_inspection_scanner": 54, | |
| "unsupported": 64, | |
| "utility_bill_parser": 55, | |
| "vin_ocr": 56, | |
| "volatile_organic_compound_voc_sensor": 57, | |
| "wake_word_spotter": 58, | |
| "water_turbidity_clarity_meter": 59, | |
| "weapon_detector": 60, | |
| "wifi_channel_interference_analyzer": 61, | |
| "work_zone_merge_compliance_monitor": 62, | |
| "wrong_way_driver_detector": 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 | |
| } | |