Instructions to use zenlm/zen-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenlm/zen-3d with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zenlm/zen-3d", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 641 Bytes
e06691b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"target": "hy3dshape.models.conditioners.omni_encoder.OmniEncoder",
"params": {
"image_encoder": {
"target": "hy3dshape.models.conditioners.omni_encoder.DinoImageEncoder",
"params": {
"version": "facebook/dinov2-large",
"image_size": 518,
"use_cls_token": true
}
},
"num_freqs": 8,
"include_pi": false,
"width": 1024,
"drop_point": true,
"drop_ratio": 0,
"random_noise": true,
"noise_ratio": 0.2,
"noise_scales": [
0.01,
0.02
]
}
} |