Image-to-3D
Transformers
Safetensors
lego
3d-generation
autoregressive
transformer
llama
dinov2
clip
siggraph-asia-2025
Instructions to use VAST-AI/LegoACE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VAST-AI/LegoACE with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VAST-AI/LegoACE", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "TextConditionModel" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "eos_token_id": 10643, | |
| "head_dim": 24, | |
| "hidden_act": "silu", | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 2048, | |
| "max_position_embeddings": 6030, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 32, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.49.0", | |
| "use_cache": true, | |
| "vocab_size": 10644 | |
| } | |