best abliterated uncensored models on hugging face that support vision; for video-analyzer

As of my last update in October 2023, there are several prominent models on Hugging Face that focus on computer vision and video analysis. Here are a few well-regarded models that might meet your needs, though you may want to check the Hugging Face Model Hub for the latest releases and updates:

1. **CLIP (Contrastive Language-Image Pre-training)**:
   - **Description**: CLIP can understand images and texts together, making it useful for various vision tasks, including image classification and video analysis.
   - **Use Cases**: It can be used for zero-shot classification of videos based on textual descriptions.

2. **Video Swin Transformer**:
   - **Description**: This model is a variant of the Swin Transformer adapted for video understanding tasks.
   - **Use Cases**: It can be applied to video classification, action recognition, and video segmentation.

3. **MViT (Multiscale Vision Transformers)**:
   - **Description**: MViT is designed for video understanding tasks, leveraging multi-scale feature representations.
   - **Use Cases**: Suitable for tasks such as action recognition and video frame prediction.

4. **3D ResNet**:
   - **Description**: An extension of the ResNet architecture designed to handle 3D data, particularly videos.
   - **Use Cases**: Commonly used for action recognition in videos.

5. **Temporal Segment Networks (TSN)**:
   - **Description**: A model that focuses on action recognition in untrimmed videos by segmenting them temporally.
   - **Use Cases**: Ideal for analyzing long videos to detect specific actions.

6. **I3D (Inflated 3D ConvNet)**:
   - **Description**: This model extends 2D ConvNets into the third dimension to capture spatial and temporal features in video.
   - **Use Cases**: Effective for video classification tasks.

7. **ViViT (Video Vision Transformer)**:
   - **Description**: This model extends the Vision Transformer to video data by incorporating temporal and spatial features effectively.
   - **Use Cases**: It excels in various video classification tasks.

8. **OpenVINO Models**:
   - **Description**: OpenVINO provides optimized models for inference that support various hardware accelerations.
   - **Use Cases**: Suitable for real-time video analysis applications.

Make sure to explore each model's documentation for specific usage instructions, potential licensing issues, and performance benchmarks. Additionally, check for community feedback and updates from the Hugging Face community, as new models and improvements are continuously evolving.