Safetensors
Transformers
English
CountGD
computer-vision
counting
grounding-dino
model_hub_mixin
multi-modal
open-vocabulary
pytorch_model_hub_mixin
Instructions to use nikigoli/CountGD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikigoli/CountGD with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nikigoli/CountGD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 512 Bytes
a07c2b0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"aux_loss": true,
"dec_pred_bbox_embed_share": true,
"dn_box_noise_scale": 1.0,
"dn_label_noise_ratio": 0.5,
"dn_labelbook_size": 91,
"dn_number": 0,
"iter_update": true,
"max_text_len": 256,
"nheads": 8,
"num_feature_levels": 4,
"num_patterns": 0,
"num_queries": 900,
"query_dim": 4,
"sub_sentence_present": true,
"text_encoder_type": "checkpoints/bert-base-uncased",
"two_stage_bbox_embed_share": false,
"two_stage_class_embed_share": false,
"two_stage_type": "standard"
} |