Model Hub & Repositories
Explore pre-trained models and integrations available in Pixeltable
Model Hubs
Hugging Face Hub
Access thousands of pre-trained models across vision, text, and audio domains
Replicate
Deploy and run ML models through Replicate’s cloud infrastructure
Hugging Face Models
Pixeltable provides seamless integration with Hugging Face’s transformers library through built-in UDFs. These functions allow you to use state-of-the-art models directly in your data workflows.
Requirements: Install required dependencies with pip install transformers
. Some models may require additional packages like sentence-transformers
or torch
.
CLIP Models
Perfect for multimodal applications combining text and image understanding.
Cross-Encoders
Ideal for semantic similarity tasks and sentence pair classification.
DETR Object Detection
Powerful object detection with end-to-end transformer architecture.
Sentence Transformers
State-of-the-art sentence and document embeddings for semantic search and similarity.
Speech2Text Models
Support for both transcription and translation of audio content.
Vision Transformer (ViT)
Modern image classification using transformer architecture.
Integration Features
Model Selection Guide
Choose Task
Select the appropriate model family based on your task:
- Text/Image Similarity → CLIP
- Object Detection → DETR
- Text Embeddings → Sentence Transformers
- Speech Processing → Speech2Text
- Image Classification → ViT
Check Requirements
Install necessary dependencies:
Setup Integration
Import and use the model in your Pixeltable workflow:
Need help choosing the right model? Check our example notebooks or join our Discord community.
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