Image Feature Extraction
Transformers
Safetensors
motif_vision
feature-extraction
motif
vision-transformer
self-supervised
video
custom_code
Instructions to use Motif-Technologies/Motif-Vision-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Motif-Technologies/Motif-Vision-Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Motif-Technologies/Motif-Vision-Encoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Motif-Technologies/Motif-Vision-Encoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
assets: optimized tracking demo GIF (8.9MB, same label quality)
Browse filesOptimizes the tracking demo GIF from 11.4MB to 8.9MB with identical label legibility. Dithering is disabled and the palette reduced to 128 colors, which compresses the heatmap regions far better; frame count trimmed 60 to 40 with chunk boundaries preserved. Faster page load, no visual regression.
assets/haaland_full_attn_blk20.gif
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