Feature Extraction
Transformers
PyTorch
English
motion
vqvae
motion-tokenization
motion-generation
human-motion
vector-quantization
Instructions to use khania/motion-mgvqvae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khania/motion-mgvqvae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="khania/motion-mgvqvae")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("khania/motion-mgvqvae", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94c74d4f137f75e53c745404f28e253ca5d08eb393bc98cbf5f482f94a0224d0
- Size of remote file:
- 1.22 kB
- SHA256:
- ebc010a5c08c2add265de1295490eee4b5b796534c38eb17cd7ca464c6538999
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