Contents Menu Expand Light mode Dark mode Auto light/dark mode
3LC Docs
Light Logo Dark Logo
  • Home
  • Introduction
  • Getting Started
    • Installation, Configuration and Deployment
    • Components and Data Privacy
    • Deployment Options
      • Overview
      • Default
        • Overview
        • Account and Workspaces
        • API Key
        • 3LC Single Sign-On
          • 3LC Single Sign-On with Azure Entra ID
      • Enterprise On-Prem
        • Overview
        • License Key
        • Secure Communication
    • Deployment Examples
      • Remote training with data on S3
      • 3LC with Docker and Kubernetes
    • Remote Environments
  • User Guide
    • Overview
    • Project Layout
    • Tables
      • Overview
      • Import
      • Schema
      • Rows and Samples
      • Revisions
      • Bulk Data
      • Map Functions
      • Row Cache
      • Export
    • Runs
      • Overview
      • Creating Runs
      • Collecting Metrics
      • Combining Data and Models
      • Hyperparameters
    • Column Types
      • Overview
      • Tabular
        • Overview
        • Categorical
      • Computer Vision
        • Overview
        • Images
        • Bounding Boxes
        • Oriented Bounding Boxes (OBBs)
        • Keypoints and Pose Estimation
        • Instance Segmentation
        • Semantic Segmentation
      • Embeddings
      • Sample Weights
      • Dashboard
    • Sharing
  • Python Package
    • Python API
      • tlc
        • client
          • bulk_data_url_utils
          • data_format
          • helpers
          • log
          • operations
            • table_operations
          • reduce
            • pacmap
            • reduce
            • reduction_method
            • umap
          • sample_type
          • torch
            • metrics
              • collect
              • metrics_aggregators
                • aggregator
                • mean_aggregator
              • metrics_collectors
                • bounding_box_metrics_collector
                • classification_metrics_collector
                • embeddings_metrics_collector
                • functional_metrics_collector
                • metrics_collector_base
                • segmentation_metrics_collector
              • predictor
            • samplers
              • sampler
        • core
          • addressable_object
          • base_object
          • builtins
            • constants
              • bool_roles
              • column_names
              • composite_roles
              • defaults
              • display_importances
              • number_roles
              • reshape_strategies
              • schema_fields
              • string_roles
              • units
              • values
              • widgets
            • schemas
              • bounding_box_list_schema
              • geometries
              • rgb_image_schema
              • row_count_schema
              • schemas
              • segmentation_schema
              • top_n_prediction_schema
              • voxelset_schema
            • types
              • bb_crop_interface
              • bounding_box
              • segmentation_helper
          • data_formats
            • bounding_boxes
            • geometries
            • keypoints
            • obb
            • segmentation
          • exceptions
          • export
            • annotation_utils
            • exporter
            • exporters
              • coco
              • csv
              • default_json
              • yolo
          • helpers
            • bulk_data_helper
            • geometry_helper
            • image_helper
            • keypoint_helper
            • project_helper
            • project_layout
            • segmentation_helper
          • init_global_objects
          • json_helper
          • object
          • object_reference
          • object_registry
          • object_type_registry
          • objects
            • mutable_object
            • mutable_objects
              • configuration
              • run
            • null_object
            • table
            • table_view
            • tables
              • from_python_object
                • table_from_pandas
                • table_from_pydict
                • table_from_torch_dataset
              • from_table
                • dimensional_reduction_table
                • edited_table
                • filtered_table
                • filtered_table_criteria
                  • all_filter_criterion
                  • any_filter_criterion
                  • bool_filter_criterion
                  • filter_criterion
                  • filter_criterion_factory
                  • freetext_filter_criterion
                  • integer_set_filter_criterion
                  • logical_not_filter_criterion
                  • numeric_range_filter_criterion
                  • region_filter_criterion
                  • text_filter_criterion
                • pacmap_table
                • reduced_table
                • rolled_up_table
                • schema_helper
                • subset_table
                • umap_table
                • unrolled_table
              • from_tables
                • joined_table
              • from_url
                • table_from_coco
                • table_from_csv
                • table_from_image_folder
                • table_from_ndjson
                • table_from_parquet
                • table_from_row_cache
                • table_from_yolo
                • table_from_yolo_ndjson
                • table_from_yolo_url
                • utils
              • generators
                • random_table
              • in_memory_columns_table
              • in_memory_rows_table
              • null_overlay
              • null_table
              • system_tables
                • config_scan_iterator
                • file_scan_iterator
                • indexing
                • indexing_table
                • indexing_tables
                  • config_indexing_table
                  • lineage_helper
                  • run_indexing_table
                  • table_indexing_table
                  • table_info
                • log_table
                • project_scan_iterator
                • single_dir_scan_iterator
                • timestamp_helper
          • operations
            • bb_operations
            • operation
          • project_context
          • schema
          • schema_helper
          • serializable_object
          • serialization_version_helper
          • table_row_serializer
          • table_row_serializer_registry
          • table_row_serializers
            • parquet_table_row_serializer
          • type_helper
          • writers
            • metrics_writer
            • table_writer
        • integration
          • detectron2
            • detectron_metrics_collection_hook
            • metrics_collection_hook
            • register_coco_instances
            • umap_reduce_embeddings_hook
          • hugging_face
            • features
            • table_from_hugging_face
            • table_from_hugging_face_base
            • table_from_hugging_face_dataset
            • table_from_hugging_face_hub
            • trainer
            • trainer_deprecated
          • pytorch_lightning
            • module_decorator
          • super_gradients
            • callbacks
              • base_callback
              • detection_callback
              • embeddings_pipeline
              • pipeline_params
              • pose_callback
            • datasets
              • detection_dataset
              • pose_dataset
      • tlcconfig
        • constants
        • default_locations
        • logger_configurator
        • option_loader
        • options
      • tlcurl
        • config_source
        • lru_cache
        • url
        • url_adapter
        • url_adapter_registry
        • url_adapters
          • abfs_url_adapter
          • api_url_adapter
          • file_url_adapter
          • file_url_adapter_win
          • fsspec_url_adapter
          • gcs_url_adapter
          • http_url_adapter
          • s3_url_adapter
    • CLI
    • URLs
    • Configuration
      • Overview
      • 3LC Environment Variables
      • 3LC File Locations
    • Indexing System
    • Object Service
      • Overview
      • Deployment Guide
      • Indexing
      • Self-Authenticated Media URLs
    • Integrations
      • PyTorch
      • Hugging Face
      • Detectron2
      • YOLOv5
      • YOLO
      • SuperGradients
      • PyTorch Lightning
    • System Requirements
    • Dependencies
    • Release Notes
      • 3LC Python Package Version 2.23
      • 3LC Python Package Version 2.22
      • 3LC Python Package Version 2.21
      • 3LC Python Package Version 2.20
      • 3LC Python Package Version 2.19
      • 3LC Python Package Version 2.18
      • 3LC Python Package Version 2.17
      • 3LC Python Package Version 2.16
      • 3LC Python Package Version 2.15
      • 3LC Python Package Version 2.14
      • 3LC Python Package Version 2.13
      • 3LC Python Package Version 2.12
      • 3LC Python Package Version 2.11
      • 3LC Python Package Version 2.10
      • 3LC Python Package Version 2.9
      • 3LC Python Package Version 2.8
      • 3LC Python Package Version 2.7
      • 3LC Python Package Version 2.6
      • 3LC Python Package Version 2.5
      • 3LC Version 2.3 Release Notes
      • 3LC Version 2.2 Release Notes
      • 3LC Version 2.1 Release Notes
      • 3LC Version 2.0 Release Notes
      • 3LC Version 1.0 Release Notes
  • Dashboard
    • Overview
    • Panels
      • Overview
      • Rows
      • Filters
      • Charts
    • Views
      • Overview
      • Subset Table
      • Reduced Table
    • Computation
      • Virtual Columns
      • Aggregate Properties
    • Workflows
      • Overview
      • Confusion Matrix
      • N-dimensional Travel Distance
      • User Defined Workflows
    • Settings
    • Keyboard Shortcuts
    • GPU Acceleration
    • System Requirements
    • Release Notes
      • 3LC Dashboard Version 2.8
      • 3LC Dashboard Version 2.7
      • 3LC Dashboard Version 2.6
      • 3LC Dashboard Version 2.5
      • 3LC Version 2.3 Release Notes
      • 3LC Version 2.2 Release Notes
      • 3LC Version 2.1 Release Notes
      • 3LC Version 2.0 Release Notes
      • 3LC Version 1.0 Release Notes
  • Examples
    • Create Tables
      • Create Table from Image Folder
      • Create Table from PyTorch Dataset
      • Create a Table from video frames
      • Create Custom Table
      • Create Semantic Segmentation Table
      • Load FHIBE Dataset
      • Object Detection
        • Create Table from COCO Object Detection
        • Create Table from YOLO Object Detection
        • Create Custom Bounding Box Table
      • Instance Segmentation
        • Create Table from COCO Instance Segmentation
        • Create Table from YOLO Instance Segmentation
        • Import instance segmentation dataset from multiple image masks
        • Convert Semantic to Instance Segmentation
        • Create Custom Instance Segmentation Table
      • Keypoints
        • Create Table from COCO Keypoints
        • Create Table from YOLO Keypoints
        • Create Custom Keypoints Table
      • Oriented Bounding Boxes
        • Create Table from YOLO - Oriented Bounding Boxes (OBB)
        • Create Custom Oriented Bounding Box Table
      • 3D
        • Create a Table from 3D points
        • PandaSet
          • Ingest PandaSet autonomous driving dataset
    • Modify Tables
      • Add image embeddings to a Table
      • Add uniqueness metrics to Table
      • Add image metrics to a Table
      • Split tables
      • Add new data to existing Table lineage
      • Add new data to dataset with splits
      • Compare dimensionality reduction methods
      • Convert bounding boxes to instance segmentation masks using SAM
      • Auto-segment images using SAM
      • Per Bounding Box Luminosity Calculation
      • Weighted Table Subset Selection
      • Instance embeddings
        • Train a instance classifier on a 3LC Table
        • Collect and reduce classifier embeddings
    • Training And Metrics
      • PyTorch 3LC MNIST Sample Notebook
      • PyTorch 3LC Fashion-MNIST Sample Notebook
      • PyTorch 3LC CIFAR-10 Sample Notebook
      • Collect metrics using a pre-trained model
      • Train autoencoder for embedding extraction
      • Register Augmented Samples From a Training Loop
      • Training a classifier using PyTorch Lightning
      • Fine-tuning a SegFormer model with Pytorch Lightning
      • Hugging Face CIFAR-100 Embeddings Example
      • 🤗 and 3LC example on the IMDb dataset
      • Fine-tuning a model with the 🤗 TLC Trainer API
      • Fine-tune Hugging Face SegFormer on a custom dataset
      • Collect Instance Segmentation Metrics from Pretrained Model
      • Collect Bounding Boxes using Detectron2
      • Fine-tune a object detection model using Detectron2
      • Collect instance segmentation metrics using Detectron2
      • Fine-tune a instance segmentation model using Detectron2
      • Train a YOLO classifier with 3LC metrics collection
      • Train a YOLO model for pose estimation on a custom keypoints dataset
      • Train a YOLO segmentation model with 3LC metrics collection
      • Train a YOLO model for object detection with oriented bounding boxes
      • Train Yolo-NAS model with 3LC Metrics Collection
      • Train a YOLO-NAS model for pose estimation with SuperGradients
      • Collect SAM image embeddings
      • Apply dimensionality reduction to multiple Tables
    • End To End Examples
      • Scaling an Instance Segmentation Dataset with Active Labeling in 3LC
      • Improving models by fixing object detection labels
  • FAQ
  • Glossary
Back to top

tlc.integration.hugging_face.table_from_hugging_face_base¶

Abstract base class for Hugging Face dataset tables.

Next
tlc.integration.hugging_face.table_from_hugging_face_dataset
Previous
tlc.integration.hugging_face.table_from_hugging_face
Copyright © 2026, The 3LC Team

We use cookies to improve 3LC’s site. Some cookies are necessary for our website and services to function properly. Other cookies are optional and help personalize your experience, including advertising and analytics. You can consent to all cookies, decline all optional cookies, or manage optional cookies. Without a selection, our default cookie settings will apply. You can change your preferences at any time. To learn more, check out our Cookie Policy.