Image Segmentation
Transformers
Safetensors
English
calico
text-generation
computer-vision
semantic-segmentation
co-segmentation
part-segmentation
multi-image-reasoning
vision-language
Instructions to use PLAN-Lab/CALICO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PLAN-Lab/CALICO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="PLAN-Lab/CALICO")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("PLAN-Lab/CALICO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "PLAN-Lab/CALICO", | |
| "architectures": [ | |
| "CALICOForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "auto_initialize_adaptors": true, | |
| "auto_initialize_qformer": true, | |
| "bbox_token_idx": 32002, | |
| "bos_token_id": 1, | |
| "dino_hidden_size": 768, | |
| "dino_model_name": "dinov2_vitb14_reg", | |
| "eos_token_id": 2, | |
| "global_image_size": 224, | |
| "grounding_encoder": "sam_vit_h", | |
| "grounding_image_size": 1024, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "image_aspect": "square", | |
| "image_aspect_ratio": "square", | |
| "initializer_range": 0.02, | |
| "intermediate_size": 11008, | |
| "layer_type": "linear", | |
| "max_position_embeddings": 4096, | |
| "mlp_bias": false, | |
| "mm_projector_type": "linear", | |
| "model_type": "calico", | |
| "num_attention_heads": 32, | |
| "num_attn_heads": 8, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 32, | |
| "num_level_reg_features": 4, | |
| "num_query_tokens": 32, | |
| "out_dim": 256, | |
| "pad_token_id": 0, | |
| "pretraining_tp": 1, | |
| "q_former_model": "", | |
| "qformer_hidden_size": 768, | |
| "qformer_vision_encoder": "eva_clip_g", | |
| "qformer_vision_width": 1408, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "seg_image_tokens": [ | |
| [ | |
| 32004, | |
| 313, | |
| 2382, | |
| 29896 | |
| ], | |
| [ | |
| 32004, | |
| 313, | |
| 2382, | |
| 29906 | |
| ] | |
| ], | |
| "seg_token_idx": 32004, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "train_mask_decoder": true, | |
| "transformers_version": "4.42.3", | |
| "update_layers": [ | |
| 11, | |
| 22 | |
| ], | |
| "use_cache": false, | |
| "use_mm_proj": true, | |
| "vocab_size": 32007, | |
| "with_region": true | |
| } | |